Career Opportunity: Senior Software Engineer (Contract-to-Perm) with KPI Solutions in Cincinnati, OH

6-month contract to permanent | Hybrid / Position is based in Cincinnati, OH

Do you want to build software that controls real-world warehouse automation (WES/WCS)? Are you excited to own customer-facing features end-to-end—from requirements through production rollout? Do you want to modernize and scale a platform using Java, Spring-based microservices, and RESTful APIs? If so, then this role is for you!

KPI is seeking an experienced Senior Software Engineer to join our Software Group on a 6-month contract-to-hire basis. You’ll help design, develop, and evolve our Warehouse Execution and Control Systems (WES/WCS), software that serves as the central nervous system for advanced materials-handling environments.

This role is a great fit for a senior engineer who enjoys solving complex problems, collaborating with cross-functional teams, and working directly with customers on real-world automation solutions.

What You’ll Do

• Design, develop, and customize KPI’s Warehouse Execution and Control System (WES/WCS) for new and existing customers.
• Collaborate with internal teams on analysis, architecture, development, and testing of software solutions.
• Work directly with customers to gather requirements and implement tailored system customizations.
• Participate in the evolution of software architecture, tools, and frameworks working with technologies such as Java, Angular, Spring/Spring-based microservices, MS SQL Server, RESTful APIs, and JDBC/iBatis/Stored Procedures.
• Support system configuration, solution analysis, and occasional end-user training at client sites (approximately 25% travel).
• Communicate effectively across engineering, product, and stakeholder teams.
• Develop deep expertise in materials handling automation and warehouse technologies.

What We’re Looking For

• Bachelor’s degree in Computer Science or a related field (or equivalent experience).
• 5-7 years of professional software development experience.
• Strong experience with Java, Angular, and SQL (or similar tech stacks).
• Proven expertise writing and maintaining complex SQL queries.
• Experience developing resilient Springbased microservices.
• Solid understanding of API design for clientserver applications, including RESTful APIs.
• Proactive mindset around best practices, security, and modern development approaches.
• Strong communication and collaboration skills.

Why Join KPI Solutions?

• High ownership, high impact: you’ll set standards and build the platform other engineers ship on.
• Modernization work: containerization, automation, observability, and security improvements that matter in production.
• Cross-regional collaboration: partner closely with our EMEA DevOps teammate to build repeatable operations.
• Hybrid flexibility: onsite Mon-Wed, remote Thu-Fri.

Ready to Apply?

Apply if you’re excited to own automation, reliability, and secure delivery—and to turn POCs into production improvements.

KPI Solutions is an Equal Opportunity Employer (EEO/M/F/D/V).

No third‑party applications, please.

#ZR

THE ROLE:

Are you passionate about driving innovation in the data storage industry? Are you skilled in crafting technical solutions that exceed customer expectations? If so, we have an exciting opportunity for you! Everpure (formerly Pure Storage), a leader in the data storage and flash technology space, is seeking a talented and motivated Senior Pre-Sales Systems Engineer to join our dynamic team. 

As a Senior Pre-Sales Systems Engineer, you will play a crucial role in understanding our customers' unique challenges and tailoring Everpure solutions to meet their specific needs. Collaborating closely with the sales team, you will act as a technical expert during the sales process, helping to showcase the value of our products and services.

The selected candidate must reside in the Cincinnati/Dayton area.

WHAT YOU’LL DO:

• Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making
• Connect the dots from technology solutions, inclusive of the Everpure portfolio and others from the ecosystem, to measurable customer business outcomes
• Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
• Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces
• Take control of evaluations,  benchmarks and system configurations
• Build and deliver technical product and architecture presentations with vigor to customers and lock in the technical win with clients and prospective accounts
• Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
• Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
• Promote mutual roadmap and planning exchanges
• Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives
• Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
• Move with market trends and competitive landscape to promote thought leadership within our organization
• Lead by example living the Everpure Values:  Persistence, Creativity, Teamwork, Ownership and Customer-first  

WHAT YOU BRING:

• Pre-sales experience is required
• 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts preferred
• Deep understanding of the architecture, design and implementation of multi-tiered client/server and web-based computing solutions
• Must have a familiarity with modern web architecture a plus (LAMP stack, scale-out vs scale-up architectures, AWS well-architected framework, microservices architecture)
• Prior experience in targeting new prospects and converting them into clients
• Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
• Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN)
• Previous experience with Linux, NFS file systems and Linux distributed network environment
• Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems
• Strong knowledge of digital transformation to a Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers
• Knowledge of VMware, Local Area Networking, Ethernet, TCP/IP and general networking
• Familiarity with AWS, Azure, GCP, containers, k8s and microservices architectures a plus
• Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers
• Familiarity with storage-intensive applications and their requirements such as structured databases (SQL, Oracle) is highly desirable
• Excellent verbal and written interpersonal skills

#LI-REMOTE

#LI-JL4

Location: Cincinnati, OH (Hybrid: 2 days in office / 3 days remote) 

Job Summary: 

We are seeking a data-driven and strategic Programmatic Campaign Targeting & Pricing Analyst to support campaign pricing, audience targeting, and digital media strategy across our network. This role sits at the intersection of analytics, programmatic media, and client strategy—primarily focused on campaign pricing and targeting. 

You will partner closely with client sales, strategy & insights, and ad operations teams to design effective, data-informed media campaigns that align with client objectives, maximize inventory utilization, and drive measurable performance. This role plays a critical part in delivering scalable growth through precise targeting and thoughtful pricing strategies  

What You’ll Do: 

Campaign Pricing & Targeting (Core Focus) 

• Design and price point-of-care and programmatic media campaigns that align with client goals and available inventory.  

• Develop targeted campaign structures using audience insights, prescription data, demographics, and market trends.  

• Ensure proposals meet company pricing standards while maximizing yield and growth opportunities.  

• Maintain visibility into inventory availability, historical pricing trends, and competitive dynamics.  

Campaign Strategy & Proposal Development 

• Collaborate with sales teams to build customized, data-driven proposals aligned to client objectives and budgets.  

• Translate client needs into compelling, clear, and strategic media recommendations.  

• Guide stakeholders through programmatic campaign options and targeting strategies.  

Data Analysis & Insights 

• Analyze large datasets to inform targeting and pricing decisions.  

• Support renewal strategies and upsell opportunities through data-backed recommendations.  

Cross-Functional Collaboration & Process Improvement 

• Partner with strategy & insights, client sales, and ad operations teams to align on campaign goals and execution.  

• Contribute to building scalable processes for campaign scoping, targeting, and pricing.  

• Identify opportunities to improve efficiency, accuracy, and performance across workflows.  

 What We Need: 

• 1–3+ years of experience in digital advertising, programmatic media, analytics, or pricing.  

• Advanced Excel skills (pivot tables, lookups, data analysis) and experience working with large datasets.  

• Ability to analyze performance data and translate insights into actionable recommendations.  

 Preferred Qualifications: 

• Bachelor’s degree in Analytics, Advertising, Business, Healthcare, or related field.  

• Experience with Salesforce, Looker, SQL, or similar tools.  

• Strong understanding of programmatic ecosystems (SSPs, DSPs, RTB, DMPs, ad exchanges).  

• Exposure to pharmaceutical or healthcare data.  

 What You’ll Need to Succeed: 

• Strong analytical mindset with attention to detail and a passion for working with data.  

• Excellent communication skills and ability to collaborate across teams and stakeholders.  

• Ability to manage multiple projects in a fast-paced, deadline-driven environment.  

• Curiosity and initiative to continuously improve processes, strategies, and outcomes.  

• A strategic mindset with an interest in evolving programmatic media and targeting capabilities.  

Senior Data Scientist Consultant, Managed Agent Platform (MAP) – Agent Platform Team P2392 

Summary 

The Agent Platform Team, within AI Enablement at 84.51°, owns and manages the core platforms that power data science and AI across the organization. This role sits on the MAP (Managed Agent Platform) squad and is focused on helping stand up a new, centralized platform that simplifies and accelerates the design, development, deployment, and monitoring of AI agents across the organization. 

The MAP is being built in response to growing demand for a flexible, no-code/low-code solution that enables both technical and non-technical users to build and deploy agents without deep engineering overhead. The platform is early-stage — the team is actively evaluating different platforms and tooling, defining workflows, and establishing standards. You will be joining at the ground floor and helping shape what this platform becomes. 

You will be the bridge between the engineers building/maintaining the MAP and the data scientists and agent builders who will use it. You are not building agents for end-clients. Instead, you ensure the platform works for the people on it — that capabilities are tested, documented, and adopted smoothly, and that practitioner needs make it back to the engineering team in a way that shapes the roadmap. 

You’ll bring hands-on familiarity with the open-source agent ecosystem — including frameworks like LangChain, LangGraph, Google ADK, and OpenAI Agents SDK — and apply that knowledge to evaluate platform capabilities, inform design decisions, and help practitioners understand what’s possible. As the platform matures, you’ll help onboard users, develop best practices, and drive adoption across the organization. 

This is a small, engineer-heavy squad that is standing something up from scratch. Everyone pitches in on a bit of everything. Priorities will shift frequently as the platform takes shape. Success in this role is less about fixed technical expertise and more about comfort with ambiguity, good judgment about where to spend your time, and the ability to influence without direct authority. 

Responsibilities 

• Voice of the practitioner: Serve as the primary liaison between data scientists and agent builders and the MAP engineering team. Gather requirements, surface pain points, and translate practitioner needs into actionable feedback that shapes platform decisions, standards, and the roadmap. 

• Platform evaluation & definition: Help evaluate and select platform tooling and contribute to defining core platform capabilities — including agent building workflows, orchestration patterns, tool/API connectivity, observability and tracing, evaluation frameworks, and governance controls. Test and document findings, recommended use cases, limitations, and rollout considerations. 

• Onboarding & enablement: As the platform matures, write guides, maintain documentation, lead training sessions, and run office hours to help data scientists and agent builders adopt the MAP. Serve as a first line of support when teams hit roadblocks. 

• Adoption & communication: Evangelize the MAP to increase awareness and drive adoption across the organization. Produce clear communications and materials for both technical and non-technical audiences. 

• Cross-functional collaboration: Work closely with engineers, the solution architect, and product lead on the squad to ensure platform capabilities have well-defined use cases and that guidelines and best practices are established. Act as an agent-building ambassador to cross-functional teams, explaining recommended workflows and the reasoning behind platform choices. 

• Governance & compliance support: Help validate that platform capabilities meet enterprise requirements around security, compliance, observability, scalability, and data governance. 

Qualifications & Experience 

• Bachelor’s degree in mathematics, statistics, computer science, economics, or a related discipline. 

• 2–4 years of experience in data science, AI/ML development, or applied analytics. 

• 2–4 years of experience in tech consulting, retail analytics, or related professional services. 

• Hands-on experience with Python and SQL. 

• Hands-on experience with one or more agent frameworks (e.g., LangChain, LangGraph, Google ADK, OpenAI Agents SDK, CrewAI, AutoGen) is required. 

• Experience gathering user needs, documenting requirements, and driving issues to resolution with technical teams. 

• Experience partnering with software engineering and/or product management teams. 

• Familiarity with LLMs, prompt engineering, and agentic AI concepts. 

• Exposure to agent platforms is a strong plus. 

Skills 

• Strong written and verbal communication, including the ability to explain technical concepts clearly to non-technical audiences and produce high-quality documentation. 

• Ability to influence across teams and seniority levels without direct authority. 

• Comfort operating in ambiguity — this platform is early-stage, and priorities will shift frequently as the team learns what works. 

• Strong project and time management skills; able to manage multiple priorities with minimal oversight. 

• Deep curiosity about the agentic AI ecosystem and a genuine desire to become a subject matter expert on agent orchestration, evaluation, observability, and deployment patterns. 

• Comfort working on a small, engineer-heavy team where you are often the only non-engineer voice in the room. 

#LI-SSS

Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First.

Job Title: Senior Engineer - (Multiple positions available)

Job Location: 3825 Edwards Road, Suite 600, Cincinnati, OH 45209 (May work remotely)

Job Duties:

WHY I DO MY JOB | Job purpose

To contribute to the success of the engineering team by autonomously delivering on the development and deployment of new technology products and/or platforms that drive excellent solutions for clients in order to enable dunnhumby to grow. May work remotely from home office within U.S., consistent with dunnhumby’s remote work policy.

WHAT I DO | Key accountabilities

• Deliver autonomously on development and deployment of complex applications, components, software, platforms or services that are used at scale.
• Conduct requirements analysis, balance different requirements and make technical trade off decisions at application level (e.g. component design).
• Lead exciting end-to-end projects of certain complexity and ensure Service Level Agreements are successfully delivered.
• Define and develop solutions to technical problems that arise.
• Provide advice and guidance to junior colleagues as required to resolve specific challenges they are having and conduct design and code reviews.
• Identify and advise on improvement opportunities and automate and simplify test and operations processes.
• Use your expertise to input into reengineering and design.
• Act as a subject matter expert for focus areas across the technology space.

Job requirements:

• Bachelor’s degree or higher (or foreign educational equivalent) in Computer Science, Mathematics, Physics, Electronics, Engineering or related field.

In addition to the degree, must have at least 5 years of experience in each of the following:

• Software development using Agile;
• Software testing and debugging;
• Cloud infrastructure, management and hosting; and
• Infrastructure as code / DevOps using Kubernetes.

Within this, must have at least 4 years of experience in each of the following:

• Data analysis and modelling;
• Working with big data using Hadoop/HDFS; and
• Utilizing at least 2 of the following programming languages: Scala, C#/C++, Javascript / React, SQL, Python, PHP.

Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First.

Job Title: Senior Applied Data Scientist

Job Location: 3825 Edwards Road, #600, Cincinnati, OH 45209 (May work remotely)

Job Duties:

WHY I DO MY JOB | Job purpose

To lead and execute projects to distil complex problems into compelling insights, using the best of dunnhumby science and making recommendations that resonate with clients and lead them to action. May telecommute 100% of the time from their home office, consistent with dunnhumby’s remote work policy.

WHAT I DO | Key accountabilities

• Build strong relationships with internal contacts & external clients to ensure full understanding of client challenges, growth strategy and agreed measures of success for the project.
• Investigate and implement the most appropriate analytical technique for each project, role modelling the re-use & further development of global solutions or code written by others.
• Deploy data science algorithms and market products on chosen tech stack for efficient and cost-effective delivery.
• Identify opportunities to grow client engagement by proactively solving client’s strategic questions, using a mix of products and advanced data science techniques that support executive decision making and calls to action.
• Participate in client meetings as required to present methodology and solutions through effective story telling techniques.
• Work closely with global products team to provide market feedback for enhancing an existing product offering or augmenting the catalogue with a market-based product that can become global offering.
• Ensure smooth running of your data analytics projects and support junior team members with their projects.
• Lead by example by following dunnhumby Quality Assurance processes, ways of working and coding standards.
• Provide advice and support to colleagues to resolve challenges and support code reviews.

Job requirements:

• Bachelor’s degree (or foreign educational equivalent) in Computer Science, Mathematics, Applied Statistics, Engineering or related field.
• In addition to the degree, must have at least 4 years of experience in each of the following:
• Software development, utilizing methodologies and tools such as Agile (Scrum Master) and Code Merge, and programming in languages including PySpark, Python, Flask/Dash, C++, and HTML; and
• Quality Assurance (QA) and Testing, including the development, execution, and maintenance of automated and manual testing frameworks.

Within this, must have at least 2 years of experience in each of the following:

• Handling large data volumes with modern data processing tools, e.g. by using Hadoop, Spark, SQL, and Python;
• Data Interpretation and Insight Analysis; performing data interpretation, insight generation, and analytical analysis to support business and technical decision-making;
• Programming experience on any standard data mining and modelling packages such as Python and R; and
• Applying advanced statistical models and machine learning algorithms to develop and implement solutions to complex analytical and business problems.

Location: Remote  

Travel Requirements: Less than 10%  

Job Summary  

Join PatientPoint, a leading force in digital health, and help us turn every patient touchpoint into an opportunity for impact. Our mission: to empower better health by delivering timely, behavior-changing content in doctors’ offices across the US. With a rapidly expanding network spanning tens of thousands of physician practices and hundreds of thousands of providers, your work here will directly influence how patients and clinicians make decisions… giving you a chance to drive meaningful outcomes at scale.  

PatientPoint is seeking a Product Manager to join our growing Ad Tech team focused on scaling PatientPoints advertising platform, with a focus on our Ad Tech product. This role sits at the intersection of client management, healthcare, media, measurement, and technology, and plays a critical part in delivering relevant, compliant, and high-performing advertising experiences that advance both patient education and partner engagement objectives.  

You will collaborate closely with engineering, analytics, and operational teams to execute a roadmap that delivers seamless programmatic advertising, advanced targeting, and yield optimization across our healthcare-focused digital ad products.  You will collaborate and contribute closely with peers focused on (de-identified) targeting and programmatic monetization.  

What You’ll Do  

• Own and prioritize sprint-level execution, write user stories, groom backlogs, manage trade-offs, and QA deliveries, inform strategy and ensure alignment with business objectives.  
• Collaborate with engineers, analysts, and campaign ops to deliver seamless, secure, and scalable ad experiences across all patient-facing digital endpoints, continuously enhancing ad serving platforms and proprietary ad management tools.  
• Support integrations with SSPs, DSPs, ad servers, creative delivery platforms, and patient engagement platforms.  
• Serve as the primary liaison for the digital advertising product and initiatives you focus on, aligning cross-functional stakeholders across commercial, sales, content, compliance, and technical teams to ensure coordinated execution.  
• Define and monitor success metrics for ad performance; improve instrumentation of, and leverage, analytics to drive ongoing improvements in effectiveness, relevance, and user engagement.  
• Stay informed of industry trends, emerging technologies, and best practices to ensure PatientPoint remains at the forefront of healthcare ad tech innovation.  
• Translate strategic product vision into detailed execution plans  
• Drive post-launch feedback loops and product iteration  
• Contribute to platform documentation, process design, and product enablement materials  

What We Need  

• 3+ years of experience in product management, ideally within Ad Tech, digital media platforms (with a focus on publisher experience), or health tech environments.  
• Deep understanding of publisher side digital advertising systems, including Google Ad Manager, DV360, Kevel, VAST/VPAID standards, SSPs/DSPs, and IAB guidelines.  
• Proven experience integrating data and business systems such as Snowflake and Salesforce with ad server platforms.  
• Strong technical writing skills, proficient at creating detailed, actionable product requirements and documentation.  
• Demonstrated ability to effectively collaborate cross-functionally, balancing both technical and business considerations.  

Desired Qualifications  

• Experience working with patient- or healthcare-related platforms, with a strong understanding of privacy, consent, and regulatory requirements including HIPAA and PHI.  
• Understanding of healthcare marketing compliance, including pharmaceutical advertising regulations.  
• Previous ownership and accountability for revenue-generating products, including budgeting, forecasting, and financial analysis.  
• Technical proficiency with analytics and management tools such as Salesforce, JIRA, Looker, and SQL.  
• Bachelor’s degree in Computer Science or related field, or equivalent practical experience  

What You'll Need to Succeed  

• Ability to drive clarity in a fast-moving, high-ambiguity environment  
• High technical fluency and comfort working with engineers, vendors, and business stakeholders  
• Exceptional communication skills and the ability to lead and collaborate across cross-functional teams.  
• A builder’s mindset and commitment to scalable infrastructure  
• Outcome-driven, always connecting roadmap to measurable result  

Base Salary Band: $90,000-$161,000
 
Compensation: At PatientPoint, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including skills, qualifications, geographic location, and professional experience, which can cause your compensation to vary. The base salary range listed is just one component of PatientPoint’s total compensation package for employees. For additional details on our total benefits package, please review the section “About PatientPoint” at the end of this job description.

Lead Data Scientist, Relevancy Sciences Data Science & Research – Personalization & Loyalty Strategy (P3764)

Relevancy Sciences Team is responsible for powering relevant, personalized, and scalable customer experiences across Kroger’s e-commerce ecosystem. We build and evolve the science behind search and recommendations that serve millions of customers and support high-scale digital experiences.

We are seeking a Lead Data Scientist to provide technical leadership across search and recommender systems, with a strong focus on modern model architectures, and production-ready machine learning. This role is ideal for someone who combines depth in applied machine learning with strong systems thinking, cross-functional influence, and contributes towards agentic capabilities.

What does the role entail? (Responsibilities)

Technical Leadership, Ownership, and Influence. Own and drive technical initiatives across search & recommender systems. Define and evolve the science strategy for improving content discovery, relevance, personalization, and decision support across digital experiences. Identify high-impact opportunities, make clear technical tradeoffs, and guide the team towards scalable, practical solutions. Rapidly prototype and validate new ideas to accelerate adoption and demonstrate measurable value.

Develop innovative search & recommender systems. Design and build ML solutions tailored to the unique needs of grocery retail domain. Lead the development of systems that improve product discovery and personalization across customer journeys. Bring strong technical and thought leadership on next generation personalization, including the use of Generative AI and agent-based approaches.

Evaluate and improve ML performance. Establish rigorous evaluation methodologies to assess the performance of ML systems across key metrics. Define robust online evaluation frameworks, and guide experimentation strategies that connect model improvements to customer and business outcomes.

Model serving and deployment. Partner closely with Engineering to build and deploy production-ready ML systems. Influence design decisions related to real-time inference, feature access, system integration, monitoring, and reliability. Ensure solutions meet latency, scalability, and operational requirements. Contribute to the evolution of serving and deployment strategies.

Cross-functional leadership. Work closely with Product, Engineering, and business stakeholders to translate needs into clear problem statements, hypotheses, and execution plans. Drive alignment across teams and influence decisions through clear communication of tradeoffs, risks, and expected outcomes.

Mentoring and knowledge sharing. Mentor data scientists and lead technical reviews to improve model quality, experimentation rigor, and systems thinking. Promote best practices in reproducibility and evaluation. Contribute to building a strong, learning-oriented team culture.

What skills and experience do you need? (Requirements)

• Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• 6+ years of experience applying machine learning to real-world problems with strong experience in search and recommender systems. Strong understanding of approaches such as embeddings and multi-stage decision systems.
• Strong proficiency in Python and SQL, with experience working on large-scale data using tools such as Spark.
• Experience with modern machine learning and deep learning frameworks such as PyTorch or TensorFlow.
• Strong foundation in statistics, experimentation, and data analysis, including design of experiments and A/B testing.
• Familiarity with large language models, foundation models, and emerging AI capabilities, including where they are applicable and where they are not.
• Experience evaluating or prototyping GenAI-based solutions is preferred.
• Experience partnering with engineering teams to deploy and maintain machine learning systems in production.
• Understanding of real-time systems, model serving, feature pipelines, and monitoring.
• Ability to make practical tradeoffs between model complexity, performance, latency, and scalability.
• Demonstrated ability to lead technical work across projects and influence direction across data science, engineering, and product teams.
• Experience mentoring or guiding other data scientists and contributing to a strong technical culture.
• Experience working with cloud platforms such as GCP or Azure.
• Experience in retail, e-commerce, or high-scale consumer domains is a plus.

Why join our team? (Rewards)

Impact millions of people. As a member of our data science team, you will have the opportunity to make a tangible difference in the lives of millions of customers by delivering relevant and personalized recommendations that enhance their grocery shopping experience. Your work will directly contribute to increasing customer satisfaction and loyalty, driving business outcomes for our company.

Continuous learning and development. Challenge yourself. We are committed to fostering a culture of continuous learning and development. You will have access to resources and support for expanding your knowledge and skills in cutting-edge technologies, including recommender systems, machine learning and artificial intelligence. Our team encourages exploration and experimentation, providing opportunities to stay at the forefront of industry advancements.

Work on new developments in recommender systems. Join a team at the forefront of innovation in recommender systems and AI. You will have the chance to contribute to pushing the boundaries of what’s possible in personalized recommendation technology. You will have the chance to work on exciting projects that leverage the latest developments in deep learning architectures and data science methodologies.

#LI-SSS

This opportunity is tailored for students seeking a co-op or internship experience. 

• Gather and define user requirements for tools and solutions
• Analyze processes and identify gaps
• Assess systems and their capabilities versus user and process requirements
• Facilitate and gather feedback from client team members
• Analyze capacity of machines or production through time studies
• Perform root cause analysis and use data to draw conclusions
• Interpret financial statements to identify opportunity areas
• Perform financial modeling and forecast financial metrics for clients
• Analyze supply chain and pricing strategies
• Develop data visualizations for clients to enable data-driven decision making
• Load and clean data, manipulating structure and connecting data tables where needed
• Build skillset in some of the following: Power BI, Excel, R, Python, SQL
• Apply all statistical results to a business setting with clear resulting actions
• Develop PowerPoint presentations for client report outs
• Travel as needed to meet client needs, up to 4 days/week

• Consulting and Change Management skills
• Ability to build relationships and collaborate with clients and AMEND team members
• Project and Time Management
• Robust problem-solving skills
• Capacity to focus on goals and manage action items, prioritization, and accountability
• Strong self-awareness to seek constant feedback
• Motivation and excitement to drive your continued development

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with the Kroger Family of Companies (i.e. H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status)

You will be joining a team of data scientists operating within the PL&S at 84.51°. Our team partners across multiple portfolios, including Our Brands, Kroger Personal Finance, and the Kroger Enterprise Marketing organization, to support media strategy & execution, targeting, measurement, and enterprise level marketing initiatives.

We work closely with the Our Brands and Kroger Personal Finance teams to plan, execute and measure targeted media and deliver insights that drive growth and efficiency. The team leads the execution of brand loyalty mailers for the Big 3 Our Brands, with a focus on rewarding high‑brand‑loyal households that drive the greatest business value. We also collaborate with Kroger Marketing to execute and measure activations across a range of initiatives, ensuring data driven insights inform business decisions.

Our team is known for being subject matter experts of KPM processes for Kroger Model and owners of a broad set of analytical and external-facing tools. We solve complex client and customer problems by applying the most appropriate statistical and analytic approaches to answer meaningful business questions. In this role, you will be on the front lines supporting Sales and Account Management partners, while also developing deep expertise in retailer data.

You will work hands-on with large-scale retailer databases and leverage the full suite of 84.51° technical and visualization tools, including Python, SQL, Excel, Power BI, and internal platforms, to deliver timely, relevant, and actionable insights. We expect all data scientists on our team to be deeply engaged in advanced analytics and comfortable working directly with data to drive impact.

Responsibilities:  

• Lead end-to-end analytics and data science projects, managing stakeholders and delivering solutions on time, within scope, and to business objectives.
• Develop a strong understanding of the end-to-end CRM (Our Brands Loyalty Mailer) targeting and measurement process to ensure the timely, accurate delivery of mailers and the generation of actionable insights. 
• Apply optimizations and scientific enhancements in targeting to improve customer engagement and maximize ROI.
• Partner closely with Sales and Account Management to own the analytic relationship for OB, driving engagement and shaping analytical offerings through feedback and insight.
• Translate complex first-party data into clear, actionable customer stories and recommendations that inform media strategy, optimization, and business decisions.
• Drive continuous improvement through stronger measurement methodology, increased automation, and clearer data visualization that leads to more actionable insights.
• Attain deep expertise in 84.51° and KPM data assets, measurement techniques, QA processes, and analytic capabilities, confidently applying them to internal and external business needs.
• Collaborate across data science, product, engineering, and capabilities teams to validate new use cases, assess data quality, and support innovation.
• Mentor and support junior data scientists through onboarding, coaching, and knowledge sharing, while championing best practices across the data science community.

Qualifications, Skills and Experience: 

• Bachelor’s degree in statistics, mathematics, business analytics, economics, marketing, or related discipline.
• 2+ years of experience in retail, ad technology, digital media, and/or advertising analytics.
• 2+ years of experience in data science, ad technology, digital media, and/or advertising analytics.
• 2+ years of experience in extracting insights from large databases, translating market research into actionable solutions and presenting findings and recommendations to clients.
• 2+ years of experience using advanced algorithms, programming languages (Python, SQL), or technologies in the development of technical analytics solutions, capabilities, and ad hoc analyses.
• Experience working cross-functionally to continuously improve existing solutions based on client feedback and validated demand.
• Strong interpersonal and communication skills including excellent verbal, written, presentation, and consultation skills.
• Comfortable conveying complex data science techniques and methodological approaches to less technical audiences – both internal and external.
• Strong analytical, problem-solving and decision-making skills.
• Strong data visualization and business acumen skills to link analysis to business impact (grocery and/or retail experience is a plus).
• Natural curiosity that welcomes and embraces ambiguity and change, with a willingness to try new things and to fail.
• Excellent attention to detail, organization skills and ability to work in a collaborative environment.

#LI-AB1

Senior Consultant, Investment Optimization & Performance 

Location: Cincinnati, OH; Chicago, IL 

SUMMARY 

The Senior Consultant, Investment Optimization & Performance supports Kroger and CPG partners by delivering a single source of truth for supplier investment reporting, identifying opportunities to protect and grow supplier funding, and translating insights into actions that improve performance. This role blends analytics, stakeholder partnership, and change management to drive adoption of internal tools and embed insights into day-to-day decision making. The ideal candidate has 2–4 years of experience in analytics, category/commercial planning, retail/CPG, or consulting. 

KEY RESPONSIBILITIES 

• Build and maintain standardized reporting and analysis related to investments, spend, and performance. 

• Deliver executive level reporting that provides a single source of truth on investment health, and performance.  

• Analyze investment trends to identify risks, opportunities, and areas for improvement across investment portfolios.  

• Develop actionable insights and recommendations to optimize investment allocation across programs, categories, and time periods.  

• Monitor performance indicators and flag emerging trends or issues. 

• Partner with Kroger teams and key CPGs to review performance, align on priorities, and track actions through to execution.  

• Monitor KPIs and performance outcomes; communicate performance narratives that connect data and insights to broader business objectives. 

• Support development of capability requirements (data, reporting, measurement, governance) to inform the roadmap of internal tools.  

• Ensure data quality and consistency by validating inputs, aligning definitions, and improving reporting workflows. 

QUALIFICATIONS 

• 2–4 years of experience in analytics, retail/CPG, category management, revenue growth management, finance, or consulting.  

• Strong analytical skills with proficiency in Excel; experience with BI tools (Power BI/Tableau) and/or SQL preferred.  

• Ability to translate data into clear insights, recommendations, and executive-ready storytelling.  

• Strong stakeholder management skills; comfortable working “shoulder to shoulder” with internal teams and external partners.  

• Experience building repeatable reporting processes, dashboards, or performance scorecards with consistent definitions.  

• Project management fundamentals: prioritization, tracking actions, and delivering against timelines in a cross-functional environment.  

• Change management mindset: ability to support training, adoption, and process improvements to embed new tools.  

• High attention to detail and comfort working with complex data sets and ambiguous problem statements. 

• Bachelor’s degree required; Master’s degree preferred but not required. 

#LI-AB1

Senior Data Scientist Consultant, SPI – Agent Platform Team

Summary

The Agent Platform Team, within AI Enablement at 84.51°, owns and manages the core platforms that power data science and AI across the organization. This role sits on the SPI (Science Platform Innovation) squad and is focused specifically on the Databricks environment and its evolving AI/ML capabilities.

You will be the bridge between the engineers building and maintaining our Databricks platform and the data scientists who use it every day. You are not building models for end-clients. Instead, you ensure the platform behaves as expected for the people on it—that new capabilities are tested, documented, and adopted smoothly, and that practitioner pain points make it back to the platform team in a way that shapes the roadmap.

You’ll build deep familiarity with Databricks’ infrastructure and AI powered capabilities —including Genie Code, Genie spaces, Agent Bricks, MLflow, and other features as they emerge—as well as the Unity Catalog governance layer that underpins them. You’ll test and evaluate new Databricks features and relevant third-party integrations from the perspective of an end-user, document your findings, and help the team decide what to adopt, how to roll it out, and what to skip.

This is a small, highly collaborative squad. Everyone pitches in on a bit of everything. Priorities shift frequently as the Databricks roadmap evolves. Success in this role is less about fixed technical expertise and more about comfort with ambiguity, good judgment about where to spend your time, and the ability to influence without direct authority.

Responsibilities

• Voice of the practitioner: Serve as the primary liaison between data scientists using Databricks and the platform engineering team. Gather requirements, surface pain points, and translate practitioner needs into actionable feedback that shapes platform decisions and roadmaps.
• Technology evaluation: Lead the testing and evaluation of new Databricks capabilities (e.g., Mosaic AI features, Model Serving enhancements, Genie, new Unity Catalog functionality) and relevant third-party tools. Document findings, recommended use cases, limitations, and rollout considerations. Over time, this may evolve from hands-on beta testing toward designing and coordinating evaluation efforts across groups of practitioners.
• Onboarding & enablement: Write guides, maintain documentation, lead training sessions, and run office hours to help data scientists adopt new platform capabilities. Partner with Learning & Development where appropriate. Serve as a first line of support when teams hit roadblocks.
• Adoption & communication: Evangelize Databricks capabilities to increase awareness and drive adoption. Produce clear release notes, communications, and materials for both technical and non-technical audiences.
• Cross-functional collaboration: Work closely with the solution architect, cloud engineer, and product senior on the squad to ensure proposed technologies have well-defined use cases and that guidelines and best practices are established. Act as a data science ambassador to cross-functional teams, explaining recommended workflows and the reasoning behind platform choices.
• Governance & compliance support: Help validate that new platform capabilities meet enterprise requirements around security, compliance, observability, and data governance (e.g., Unity Catalog lineage, Azure connectivity).

Qualifications & Experience

• Bachelor’s degree in mathematics, statistics, computer science, economics, or a related discipline.
• 2–4 years of experience in data science, AI/ML development, or applied analytics.
• 2–4 years of experience in tech consulting, retail analytics, or related professional services.
• Hands-on experience with Python, SQL, PySpark and Databricks
• Experience gathering user needs, documenting requirements, and driving issues to resolution with technical teams.
• Experience partnering with software engineering and/or product management teams.
• Familiarity with LLMs, prompt engineering, or agentic AI concepts is a strong plus.
• Experience with the Databricks ecosystem (Unity Catalog, MLflow) is a strong plus.
• Exposure to agent frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen) is a plus.

Skills

• Strong written and verbal communication, including the ability to explain technical concepts clearly to non-technical audiences and produce high-quality documentation.
• Ability to influence across teams and seniority levels without direct authority.
• Comfort operating in ambiguity—priorities shift frequently, and you need good instincts about where to focus.
• Strong project and time management skills; able to manage multiple priorities with minimal oversight.
• Curiosity and enthusiasm for emerging AI technologies and a genuine desire to become a subject matter expert on the Databricks platform and its AI capabilities.

#LI-SSS

DIRECTOR, DATA SCIENCE - SUPPLY CHAIN, OPERATIONS, REPLENISHMENT

Cincinnati, OH

Chicago, IL

SUMMARY:

The Supply Chain, Operations, and Replenishment  (SCORe) team is responsible for creating for cutting edge supply chain and operations sciences to meet Kroger’s need now and in the future, ensuring that we deliver value for our Kroger stakeholders and the enterprise.  This role will lead the supply chain data scientists and partner heavily with our Product and Engineering community to develop the best solutions for our stakeholders within our supply chain workstreams.

RESPONSIBILITIES:

• Influence and partner with SCORe team leaders to set the vision and future road map by developing immediate and long-term strategic plans in supply chain and operations
• Partner with the other SCORe Tech DSR Leads to develop and oversee innovation/capability roadmaps to support strategic supply chainplans
• Bring transformational, innovative thinking to the SCORe team, creating and/or improving ways of working, products, sciences, tools and initiatives
• Develop and manage stakeholder relationships within 84.51° and Kroger to drive better decisions across the Supply Chain space
• Understand business priorities and project value to make prioritization decisions
• Partner with cross-functional leaders to ensure shared goals that enable delivery of science services and insights at scale
• Enable & manage a team of data scientists in delivering strategic objectives and work plans while developing their individual technical and business skills

QUALIFICATIONS, SKILLS, AND EXPERIENCE:

• 7+ years developing analytical solutions using advanced AI, Machine learning, and optimization methods
• 7+ years querying data from relational databases using SQL/Python to develop analytical solutions
• 7+ years with data wrangling, data cleaning and prep, problem framing, and analysis
• Experience with managing, recruiting, training, developing, coaching, and/or inspiring highly technical associates
• Proficient in technology stack (Azure, Databricks, Python, Spark)

• Experience applying data science capabilities to supply chain and operations business problems

• Experience with developing, coaching, and/or inspiring highly technical associates
• Ability to work in a highly collaborative cross functional environment
• Comfort with fast pace and multiple moving parts, anticipating and solving for future barriers/ changes 
• Excellent interpersonal, collaboration, and communication skills
• Strong business acumen
• Strong academic background in mathematics, statistics, computer science, economics, or similar discipline
• Strong analytical, creative problem-solving and decision-making skills
• Ability to create computationally efficient solutions
• Natural curiosity and passion around data, analysis and insights
• Welcomes and embraces change
• Ability to work fast yet accurately
• An openness and willingness to try new things and to fail 

An ideal candidate has a strong track record of: 

• Building stakeholder relationships at a senior level
• Internal or External client exposure and strong understanding of client’s business needs
• Ability to present technical solutions to non-technical audience
• Managing, recruiting, training, developing, coaching, inspiring and/or leading others
• Championing an inclusive culture and embracing 84.51° D&I initiatives 
• Creating and/or improving large-scale processes or initiatives
• Leading Data Scientists through product life cycle and projects
• Independently creating solutions and solving open-ended and/or complex problems, analyzing both successes and failures
• Collaborating across all functions of 84.51° 
• Providing direct, constructive feedback to peers and junior data scientists 
• Making data-driven decisions and priority calls
• Clearly articulating their point-of-view
• Comfortability with fast pace and multiple moving parts, anticipating and solving for future barriers/ changes 

#LI-SSS

SENIOR DATA SCIENTIST (P2408)

SUMMARY:

The Core Science team is responsible for some of our most foundational data science products including enterprise-wide segmentations and store measurement tools. As Senior Data Scientist on the Core Science team, you will build and maintain our new Customer Dimensions and Functional Loyalty. Our team plays a crucial role in building core segmentations that are used across the business in various functions like customer reporting and targeting.

In this role, you will maintain and enhance existing dimensions, support business use of dimensions, build and monitor data quality dashboards, and develop new customer dimensions to expand our view of customers. This includes responding to time-sensitive requests for deep-dive analyses, managing routine processes, and innovation of new segmentations.

You will leverage a diverse technical toolkit including Power BI for dashboard development, GitHub for code management and version control, and PySpark for programming. Additionally, you'll have opportunities to explore the use of embeddings and incorporate AI technologies to enhance our analytical capabilities and create more efficient solutions.

Success in this role requires strong analytical skills and business insights combined with intellectual curiosity and adaptability. We're looking for someone who embraces change, demonstrates enthusiasm for learning new methodologies, and can balance maintaining existing systems while innovating for the future.

RESPONSIBILITIES:

• Effectively managing projects, tasks and stakeholders to ensure that projects are delivered on time, within budget and to brief specification while ensuring minimal downtime and maximum utilization.
• Interpreting results and developing actionable recommendations from the data analysis to build relevant customer stories for clients.
• Identifying and implementing artificial intelligence solutions to enhance business processes, drive operational efficiencies, and deliver increased value to stakeholders.
• Quality Assurance of own code and that of team members to ensure the highest quality work is being delivered to our clients.
• Identifying opportunities for standardization & automation of existing solutions and processes to enable 84.51° to realize the maximum potential from our teams.
• Challenging and improving 84.51° analytical capabilities/products.
• Working closely with key internal stakeholders to ensure sound knowledge of client objectives and customer insight, to subsequently design best-in-class solutions.

QUALIFICATIONS, SKILLS, AND EXPERIENCE:

• 2+ years of experience in consulting or professional services
• 2+ years of experience in extracting insights from large databases, translating market research into actionable solutions and presenting findings and recommendations to clients
• 2+ years of experience using advanced algorithms, programming languages, or technologies in the development of technical analytics solutions or capabilities.
• Experience querying data from relational databases using SQL.
• Experience using R, Python, or other similar statistical software to develop analytical solutions.
• Experience with data wrangling, data cleaning and prep, dimensionality reduction.
• Experience with Big Data concepts, tools, and architecture (e.g. Hadoop, Pig, Hive, Spark, Sparkling Water).
• Ability to create computationally efficient solutions.
• Strong academic background in mathematics, statistics, computer science, economics, or similar discipline.
• Data visualization skills and ability to present technical solutions to non-technical audience.
• Strong interpersonal and communication skills.
• Strong analytical, creative problem-solving and decision making skills
• Strong business acumen; grocery and/or retail experience is a plus.
• Passionate about data, analysis and insights.
• Natural curiosity that welcomes and embraces change and willingness to try new things and to fail, particularly in exploring emerging technologies and AI applications.
• Ability to work in a highly collaborative environment.

#LI-SSS

Sr. ML Data Engineer, Relevancy Sciences – Personalization & Loyalty Strategy (P508)

The Relevancy Sciences Team is responsible for creating relevant and personalized customer experiences for Kroger's E-commerce platform, which ranks among the top 10 ecommerce companies in the US. We generate trillions of recommendations at scale and deliver them to millions of Kroger customers daily. Our team maintains a comprehensive portfolio of machine learning solutions for search & product recommendations. We are seeking a talented and experienced Senior ML Data Engineer to join our data science team, with specialized expertise in building search and recommender systems.

Role Overview

You will architect, build, and operate the critical data infrastructure that powers our machine learning models, spanning from feature engineering to training data generation. This role serves as the bridge between ML requirements and production data systems, with ownership of feature stores, training/evaluation pipelines, and ML-specific data operations. You will enable data scientists to iterate rapidly while ensuring production-grade reliability and scalability.

What You'll Do

1. Feature Store Operations & Governance (40%)

• Own the feature request lifecycle from intake through deployment, driving reusability and maintaining a searchable feature catalog
• Design and build scalable feature pipelines that compute features from diverse sources (BigQuery, Azure Data Lake) and write to Feature Store infrastructure (Vertex AI Feature Store + BigQuery)
• Build streaming feature engineering pipelines using Apache Beam/Dataflow for real time feature computation and low-latency model serving with sub-second data freshness
• Ensure point-in-time correctness and online/offline feature consistency to prevent data leakage
• Implement drift detection, data quality monitoring, and alerting mechanisms
• Develop self-service tools and templates that enable teams to independently create features

1. Training & Evaluation Data Pipelines (30%)

• Build automated pipelines that generate ML-ready training datasets by combining features with labeled target variables
• Implement point-in-time correctness logic and sophisticated sampling strategies to ensure balanced, representative datasets
• Maintain comprehensive dataset versioning for full traceability across model versions
• Generate detailed evaluation reports with performance metrics segmented by business dimensions
• Support operations across both Azure and Vertex AI environments during platform migration

1. ML Data Operations & Reliability (20%)

• Serve as Tier 2/3 on-call responder for feature data quality incidents, diagnosing and resolving pipeline failures and performance issues
• Maintain comprehensive lineage tracking and metadata management for full data traceability
• Support regulatory compliance through proper data governance and documentation

1. Standards, Education & Collaboration (10%)

• Establish and enforce feature naming conventions, data quality thresholds, and point-in-time correctness patterns
• Conduct workshops on feature engineering best practices and provide expert guidance on feature design
• Partner with Data Scientists, ML Engineers, Data Engineering, and MLOps teams to optimize infrastructure and align with technical strategy

What We're Looking For

Required Qualifications:

• 3+ years of hands-on experience building and maintaining ML data pipelines in production environments with demonstrated expertise in scaling and reliability
• Expert-level SQL skills and advanced Python programming capabilities with experience in data processing frameworks and ML libraries
• Proven experience with cloud data platforms, with strong preference for GCP ecosystem including BigQuery, Dataflow, Vertex AI Feature Store, and associated ML services
• Deep understanding of end-to-end ML workflows including training data preparation, model evaluation methodologies, and serving infrastructure requirements
• Production operations mindset with experience in monitoring, alerting, on-call responsibilities, and meeting SLA commitments

Strongly Preferred Qualifications:

• Hands-on experience with Feature Store platforms such as Vertex AI Feature Store, Feast, Tecton, or similar enterprise solutions
• Deep knowledge of point-in-time correctness principles, temporal joins, and time-series data modeling best practices
• Multi-cloud experience with both Azure and GCP platforms, including data migration and hybrid cloud architectures
• Strong familiarity with core ML concepts including feature engineering, label creation, train/test/validation splits, and data leakage prevention
• Background spanning both analytics engineering and ML-specific data engineering with understanding of the unique requirements of each domain

Success Indicators:

• Improved Data Science Productivity:Data Scientists spend significantly less time on data preparation and infrastructure concerns, enabling more focus on model development and experimentation
• Increased Feature Reuse:Measurable increase in feature reuse across multiple models and teams, reducing redundant development effort and improving consistency
• Reliable Automation:Training and evaluation data generation processes operate reliably with minimal manual intervention and high uptime
• Efficient Incident Response:Data quality incidents are triaged quickly with clear escalation paths and rapid resolution times
• Accelerated ML Iteration:Overall ML model development and iteration velocity improves measurably across all teams using the platform

#LI-SSS

#LI-Remote

• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
• Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs
• Define project requirements by identifying project milestones, phases, and deliverables
• Execute project plan, report progress, identify and resolve problems, and recommend further actions
• Delegate tasks to appropriate resources as project requirements dictate
• Design, develop, and deliver audience training and adoption methods and materials

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Databricks and DBT experience is a plus
• Experience building and optimizing data pipelines, architectures, and data sets
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Strong analytic skills related to working with structured and unstructured datasets
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management
• A successful history of manipulating, processing, and extracting value from large, disconnected datasets
• Ability to interface with multiple other business functions (internally and externally)
• Desire to build analytical competencies in others within the business
• Curiosity to ask questions and challenge the status quo
• Creativity to devise out-of-the-box solutions
• Ability to travel as needed to meet client requirements

• Competitive pay and bonus
• Travel incentive bonus structure
• Flexible time off
• Investment in your growth and development
• Full health, vision, dental and life benefits
• Paid parental leave
• 3:1 charity match

• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
• Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs
• Define project requirements by identifying project milestones, phases, and deliverables
• Execute project plan, report progress, identify and resolve problems, and recommend further actions
• Delegate tasks to appropriate resources as project requirements dictate
• Design, develop, and deliver audience training and adoption methods and materials

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Databricks and DBT experience is a plus
• Experience building and optimizing data pipelines, architectures, and data sets
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Strong analytic skills related to working with structured and unstructured datasets
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management
• A successful history of manipulating, processing, and extracting value from large, disconnected datasets
• Ability to interface with multiple other business functions (internally and externally)
• Desire to build analytical competencies in others within the business
• Curiosity to ask questions and challenge the status quo
• Creativity to devise out-of-the-box solutions
• Ability to travel as needed to meet client requirements

• Competitive pay and bonus
• Travel incentive bonus structure
• Flexible time off
• Investment in your growth and development
• Full health, vision, dental, and life benefits 
• Paid parental leave
• 3:1 charity match

Position Title: Test Analyst (Onsite – Contract) 
Location: Cincinnati, OH & Kentucky 
Contract Type: Contract 
Start Date: Aug-November 2025 

Position Summary: 
The primary role of the Test Analyst is to support comprehensive testing efforts by executing functional, system, and integration testing across a variety of applications. This role requires strong analytical skills, attention to detail, and a collaborative mindset. The Test Analyst will work closely with cross-functional teams to validate business requirements and ensure the delivery of high-quality solutions. This is a client-facing, onsite position requiring regular presence at locations in Cincinnati, OH and Kentucky. 

Job Responsibilities: 

• Review and analyze business and technical requirements to design appropriate test plans and test cases 

• Execute manual and/or automated test cases and report on results 

• Identify, document, and manage defects through resolution 

• Coordinate with developers, project managers, and business stakeholders to clarify requirements and support defect resolution 

• Support user acceptance testing (UAT) and provide detailed feedback 

• Document testing processes and maintain relevant QA documentation 

• Ensure compliance with established testing standards and best practices 

• Provide regular updates on testing status, risks, and issues 

• Work onsite at client locations in both Cincinnati and Kentucky as required 

• Other duties as assigned 

Role Requirements: 

• Proven experience in software testing, including functional, system, regression, and UAT 

• Ability to understand and translate business requirements into test cases 

• Strong organizational and time management skills 

• Excellent verbal and written communication skills 

• Self-motivated and detail-oriented with a proactive approach to issue resolution 

• Ability to work independently as well as part of a team in a fast-paced environment 

• Flexibility to travel to and work from multiple client sites as needed 

Technical Skills: 

• Experience with test case management and defect tracking tools (e.g., JIRA, ALM, TFS) 

• Solid understanding of software development and QA methodologies 

• Familiarity with SQL and ability to perform basic database queries 

• Exposure to API testing tools and techniques is a plus 

• Understanding of Agile and traditional SDLC environments 

Qualifications: 

• Bachelor’s degree in Computer Science, Information Systems, or a related field preferred 

• Minimum of 2 years of experience as a Test Analyst or similar role in a QA environment 

• Must be authorized to work in the U.S. 

• Must be available to work onsite in Cincinnati and Kentucky