Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking an Insights & Integrations Consultancy Data Scientist who will be responsible for transforming complex data into clear, business-impactful insights that drive portfolio expansion, retention, and real-world outcomes for fleet operators around the world. This role sits at the intersection of data science, customer consultancy, and sustainability — where your ability to communicate the why behind the data matters as much as the analysis itself. If you love turning data into decisions and have a passion for sustainability and clean transportation — we would love to hear from you!

What you'll do:

As an Insights & Integrations Consultancy Data Scientist, your key area of responsibility will be partnering with strategic accounts to drive ecosystem expansion and retention — not just through technical analysis, but by translating that analysis into business impact that resonates with fleet managers, executives, and non-technical stakeholders. You will develop and maintain deep expertise across the Geotab platform, engaging directly with partners and end-users to optimize their use of Geotab's technology, presenting data-driven insights in ways that clearly demonstrate ROI, cost savings, and efficiency gains. Day-to-day, you will design and deliver Big Data dashboards and analytics tools, maintain Airflow pipelines for continual data analysis using SQL and Python, develop proof of concepts, and solve complex business problems through customer-tailored algorithms and predictive models. You will also represent Geotab as a thought leader at industry events and trade shows — particularly in the areas of fleet electrification and sustainability — and travel quarterly to Canada for team meetings, with additional on-sites at key strategic accounts.

You will work closely with Account and Engagement Managers within Geotab's Sales Channels, the Signature Accounts Team, Product Management, and Solutions Engineering — relationships that are essential to identifying growth opportunities and translating customer feedback into product improvements. To thrive in this role, you will bring an exceptional ability to communicate complex technical concepts to non-technical audiences, a consultative mindset focused on business outcomes over technical jargon, and a genuine passion for sustainability and the electrification of commercial fleets.

How you'll make an impact:

• Develop and maintain comprehensive knowledge of the Geotab ecosystem, serving as a Subject Matter Expert (SME) to empower end-users and partners and enhance their understanding of Geotab solutions.

• Engage and collaborate with partners and end-users to optimize their utilization of Geotab's technology, products, and solutions, tailoring the approach to meet their specific needs.

• Contribute to the continuous improvement of the company's offerings by providing partner and end-user feedback, providing opportunities to collaborate with Product Management teams.

• Create and optimize data-driven dashboards for cross-functional use, facilitating informed decision-making and efficient collaboration with a focus on expansion and retention of existing customers.

• Ensure partner and end-user satisfaction through prompt and accurate service, bolstering internal team support by providing additional insights and know-how.

• Collaborate with the Geotab revenue generating teams to identify and deliver effective solutions for customer challenges, by working closely with them and their partners, contributing to sales growth, ecosystem expansion and customer retention.

• Support Geotab's partner upskilling, driving them towards excellence to support customers across unique channels, using best practices, and leveraging a deep understanding of industry verticals.

• May be involved in developing and implementing proof of concepts. This involves creating a small-scale version of the solution to demonstrate its feasibility and effectiveness in the customer's environment.

• Staying updated with industry trends, competitor products, and market demands is crucial. Need to understand the broader landscape in which Geotab operates to position their solutions effectively.

• Keep accurate records of customer interactions, solution designs, and outcomes is important. This helps in creating case studies, improving processes, and maintaining a repository of successful solutions for reference.

• Deliver compelling technical presentations and demonstrations to customers. They showcase the features and benefits of the product or service, highlighting how it solves the customer's problems.

• Work closely with the sales team and fellow engineers throughout the sales cycle as needed. Provide technical support, answer technical questions, and address concerns that potential customers may have in regards to their area of subject matter expertise.

• Based on customer requirements, design customized solutions or configurations using the company's products. They create proposals and presentations that outline how the solution meets the customer's needs, often through demonstrations or prototypes.

• Even before a sale is made, may assist with technical inquiries from potential customers. This could involve explaining technical details, providing documentation, or guiding customers on how to integrate the solution into their existing systems when expertise beyond the general area is required.

• Solve complex business problems by providing analytics or analytics-based consulting, including customer-tailored algorithms and predictive models, under guidance or mentorship.

• Maintain airflow pipelines for continual data analysis combining SQL queries and python scripts.

• Design, maintain and deliver Big Data dashboards and tools; document stakeholder requirements, resolve issues, and fulfill change requests.

What you'll bring to this role:

• Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field; equivalent combination of education and/or work experience may be substituted.

• 3–5 years of experience in a relevant customer-facing technical role, including Solutions Engineering, Sales Engineering, Integration Engineering, Engineering Support, Software Development, Data Science, or Technical Account Management.

• 1–3 years of hands-on experience with SQL (Google BigQuery preferred) and data science tools (Python, pandas, numpy preferred).

• Experience working with large data environments and demonstrated ability to extract value from very large datasets, including data modeling and data warehouse concepts.

• Data visualization skills, particularly in dashboarding platforms such as Power BI or Tableau.

• Technical knowledge of telematics, IoT, APIs, and related technologies; working knowledge of hardware integrations is a bonus.

• Strong communication and presentation skills, with the ability to articulate complex concepts to both technical and non-technical audiences, and to collaborate effectively across cross-functional teams.

• Effective problem-solving and critical thinking abilities, with the capacity to assess customer challenges and propose viable solutions.

• A customer-focused mindset with strong time management and organizational skills; able to manage multiple projects and priorities simultaneously.

• Desire to stay current with emerging technology and the flexibility to adapt to growing market demands.

• Ability to travel up to 20% of the time internationally; valid passport required.

Why job seekers choose Geotab:

Hi, we're Oscar. We're hiring a to join our Clinical Data Analytics team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role:

You will partner closely across the organization to identify and manage inefficiencies proactively in the business. You will support business units in scoping, analyzing and monitoring performance of key financial and utilization metrics in service of company goals. You will independently drives the scoping & execution of analytical requests, including working with stakeholders to define key questions, scope methodologies and results. You will be called upon to speak to prepared analysis both internally and externally.

You will report into the Senior Manager, Clinical Analytics.

Work Location: This is a remote position, open to candidates who reside in: Atlanta, Georgia. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote

Pay Transparency: The base pay for this role is: $91,659 - $120,303 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, and annual performance bonuses.

Responsibilities:

• Responsible for owning insights generation and follow-up for a major business unit, serving as the first point of contract for Sr. Managers and Associate Directors
• Analyze data to support business teams in making better informed, data-driven decisions
• Use data to tell a story that non-technical colleagues will be able to understand, including packaging and presenting findings in a clear, concise and compelling manner
• Recognize the need to enhance essential operational and analytical dashboards, and define the requirements to enhance them as our user's needs evolve
• Identify opportunities to create models and tools that produce relevant insights to identify healthcare inefficiencies and generate insights to remove inefficiencies
• Collaborate across the organization, including owning stakeholder relationships with managers & senior managers , to identify actions to achieve improvements and monitor initiative impact
• Support other strategic projects as assigned to meet business needs
• Compliance with all applicable laws and regulations
• Other duties as assigned

Requirements:

• 3+ years of technical work experience using analytical tools and writing analytical reports
• 3+ years demonstrated ability to work with large datasets and distill analyses into relevant insights with a structured and systematic thought process
• Strong communication skills, verbal and written, around business reporting impact and requirements, as demonstrated by 5+ examples / projects of presenting analysis to Leadership (Director+)
• 3+ years experience in SQL, with the ability to filter, aggregate, and build CTEs, or proficiency in R or Python, including experience with Pandas, for loops, and statistical tests
• 3+ years experience developing dashboards and working with Looker, or other business intelligence/data visualization tools
• 3+ years experience, including proficiency in Google Sheets or Excel skills, with ability to use VLookup, nested if statements and connected Sheets
• 1+ years experience in healthcare, consulting, finance or the insurance industry

Bonus points:

• 2+ years experience in preparing healthcare analytics and reporting
• 2+ years experience managing value-based contracts at a payer or a provider organization (ACO, CIN, MSO etc.)
• Exposure to healthcare contract negotiations, risk adjustment, ACA marketplace, quality of care, and/or population health experience

We are looking for a technically rigorous, intellectually curious Senior Data Scientist to join our Acquisition Marketing Analytics team. In this role, you will own our most strategic measurement capabilities – including media mix modeling and always-on incrementality testing with paid partners – and use them to drive how we invest across acquisition channels.

You are the right fit if you have a strong foundation in causal inference and applied statistics, thrive at the intersection of data science and marketing strategy, and know how to turn complex model outputs into decisions that matter to the business.

What you’ll do:

• Own end-to-end media modeling (MMM), from data preparation and model development, to validation, calibration, and stakeholder delivery
• Design, launch, and maintain incrementality testing frameworks, in partnership with paid media partners, including geo-holdout and platform-native lift study designs
• Translate model outputs into actionable budget allocation and channel investment recommendations
• Partner with channel leads to develop and maintain a structured learning agenda across paid media
• Automate recurring measurement processes to improve accuracy, scalability, and speed-to-insight
• Contribute to raising the analytical bar across the team through code review, documentation, and knowledge sharing

What you have:

• 4+ years of experience in data science or quantitative analytics, with meaningful time spent supporting paid media or acquisition marketing
• Proven ownership of MMM end-to-end
• Hands-on experience designing and running incrementality tests, including experimental design, execution, and results interpretation
• Experience working in app-based or DTC acquisition environments strongly preferred; sports real money gaming industry background a plus
• Bachelor's degree in Business, Analytics, Statistics, Econometrics, Information Systems, Computer Science, or a related field.  Advanced degree preferred
• Exceptional communicator: able to explain modeling decisions and statistical tradeoffs to non-technical stakeholders
• Strong business judgment: you connect analytical outputs to commercial outcomes
• Collaborative: can act as a partner to Marketing, Finance, and Product teams, with experience working across functions to drive aligned decisions
• Comfortable with ambiguity, and able to scope and prioritize work independently
• Technical Skills
  • Python: proficiency in modeling, statistical analysis, and automation (pandas, numpy, statsmodels, PyMC or similar)
  • SQL: advanced, including complex transformations and pipeline logic
  • dbt: experience building and maintaining data models in a dbt environment
  • Open-source MMM frameworks (Robyn, Meridian): hands-on experience strongly preferred

Where you’ll live:

• While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote 

Working at PrizePicks:

The typical salary range for this position is $120,000 to $170,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. 

This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.

Date Posted:  4/17/2026

About the Role

We are building a differentiated advisory practice at the intersection of AI strategy, governance, and security. As organizations move from AI experimentation to enterprise-scale deployment, they face urgent questions: How do we govern AI responsibly? How do we secure agentic architectures? How do we align technical capabilities with business strategy and regulatory requirements?

This role is designed for a technically grounded early-career professional who wants to help answer those questions alongside senior practitioners. You will work directly with the practice lead on client-facing engagements, contribute to the development of proprietary frameworks and tools, and build expertise in one of the fastest-growing areas of consulting.

This is not a traditional strategy consulting role, and it is not a pure engineering role. It sits at the intersection—you need to be comfortable reading Python, understanding how LLMs and agentic systems work, AND translating that knowledge into governance frameworks, risk assessments, and executive-ready deliverables. If you thrive at the border between technical depth and business impact, this is for you.

What You Will Do

Client Delivery (50–60%)

• Support the design and delivery of AI governance assessments for clients across industries, leveraging frameworks such as ISO/IEC 42001, NIST AI RMF, and the EU AI Act.
• Conduct technical reviews of client AI systems, architectures, and deployments to identify governance gaps, security vulnerabilities, and risk exposure.
• Develop AI risk registers, control mappings, and maturity assessments tailored to each client’s organizational context and regulatory landscape.
• Prepare client-facing deliverables including assessment reports, executive briefings, implementation roadmaps, and policy recommendations.
• Participate in workshops and stakeholder interviews with client teams ranging from data scientists to C-suite executives.

Practice Development (25–30%)

• Help build and refine the practice’s proprietary AI governance and security framework, integrating industry standards with practical implementation experience.
• Research emerging AI risks, including those specific to agentic AI systems, LLM-based applications, MCP architectures, and AI supply chains.
• Develop reusable tools, templates, and accelerators (e.g., assessment questionnaires, control libraries, risk scoring models) to scale the practice.
• Contribute to thought leadership content: draft LinkedIn posts, white papers, blog articles, and conference presentation materials.
• Monitor regulatory and standards developments (EU AI Act, state-level AI legislation, ISO/IEC updates, OWASP LLM Top 10) and maintain a current knowledge base.

Technical Contribution (15–20%)

• Build proof-of-concept tools and demos using Python to illustrate governance and security concepts for clients (e.g., prompt injection demonstrations, model evaluation dashboards, automated compliance checks).
• Evaluate and test AI platforms, tools, and vendor solutions from a governance and security perspective.
• Support the practice lead’s technical fluency development by preparing technical briefings, annotated code walkthroughs, and “translation” materials that bridge technical and executive audiences.
• Stay hands-on with AI/ML development trends: experiment with agentic frameworks (LangChain, LangGraph, CrewAI), RAG architectures, and model evaluation techniques.

What We Are Looking For

Required Qualifications

• 2–3 years of professional experience in one or more of the following areas: AI/ML engineering, data science, or cybersecurity.
• Bachelor’s degree in Computer Science, Data Science, Information Systems, Cybersecurity, Engineering, or a related field. Master’s degree is a plus but not required.
• Working proficiency in Python and comfort navigating data science tooling (Jupyter, Pandas, Scikit-learn, or equivalent).
• Foundational understanding of machine learning concepts: supervised/unsupervised learning, model training and evaluation, overfitting, bias-variance tradeoff.
• Familiarity with LLM-based applications: understanding of how large language models work (at minimum: tokenization, embeddings, attention, fine-tuning vs. RAG vs. prompt engineering).
• Strong written and verbal communication skills—you must be able to explain technical concepts to non-technical stakeholders clearly and concisely.
• Comfort working in ambiguity: this is a practice being built, not a mature team with fully defined processes. You need to be self-directed and resourceful.

Preferred Qualifications

• Exposure to AI governance or risk management frameworks (ISO/IEC 42001, NIST AI RMF, EU AI Act, OWASP LLM Top 10, MITRE ATLAS).
• Experience with agentic AI frameworks (LangChain, LangGraph, CrewAI, AutoGen) or understanding of agent architectures and tool-use patterns.
• Understanding of MCP (Model Context Protocol) or similar protocols for AI system integration and the security implications thereof.
• Background in cybersecurity, including familiarity with security frameworks (NIST CSF, ISO 27001) and how they intersect with AI-specific risks.
• Experience in a consulting or professional services environment, including client-facing work and deliverable development.
• Relevant certifications such as: CISA, CISSP, CCSP, AWS/Azure AI certifications, or ISO 42001 Lead Implementer/Auditor.
• Bilingual English/Spanish is a strong plus.

The Kind of Person Who Thrives in This Role

We are not looking for someone who fits neatly into a single box. The ideal candidate is a “bridger”—someone who can move fluidly between a technical deep dive and an executive conversation. Specifically:

• You’re a builder, not just an analyst. When you see a gap in a process or a tool, your instinct is to prototype something—a script, a template, a dashboard, not just write a slide about it.
• You’re curious about “why” and “so what.” You don’t just want to understand how a transformer model works; you want to understand what that means for how organizations should govern and secure it.
• You write well. A significant portion of this role involves producing written work—reports, frameworks, articles—and clarity of writing is non-negotiable.
• You’re comfortable being the least experienced person in the room. You’ll be in meetings with CIOs, CISOs, and senior partners. You need the confidence to contribute and the humility to learn.

What We Offer

• Accelerated growth trajectory: You’ll be building a practice from the ground up alongside senior leadership, gaining exposure and responsibility that would take years to earn in a larger, more established team.
• Investment in your learning: Budget for certifications, training programs, and conference attendance.
• Client diversity: Work across industries and with organizations at different stages of AI maturity—from Fortune 500 companies to mid-market firms navigating their first AI initiatives.