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Senior Data Scientist

Clarity Innovations · Bluegrass Station, Lexington, Kentucky

Data Engineering Bluegrass Station, Kentucky Posted May 6, 2026

Clarity Innovations is a trusted national security partner, dedicated to safeguarding our nation’s interests and delivering innovative solutions that empower the Intelligence Community (IC) and Department of Defense (DoD) to transform data into actionable intelligence, ensuring mission success in an evolving world.

Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data Structuring, enabling end-to-end solutions that drive operational impact.

We are committed to delivering cutting-edge tools and capabilities that address the most complex national security challenges, empowering our partners to stay ahead of emerging threats and ensuring the success of their critical missions. At Clarity, we are people-focused and set on being a destination employer for top talent, offering an environment where innovation thrives, careers grow, and individuals are valued. Join us as we continue to lead innovation and tackle the most pressing challenges in national security.

Role
This role is for a Senior Data Scientist on a close-knit team supporting Special Operations Forces Support Activity (SOFSA), a U.S. Special Operations Command program at Bluegrass Station in Lexington Kentucky. SOFSA provides flexible and highly responsive logistics support services to ensure that the equipment readiness requirements of the special operations war fighter are met. As a subject matter expert, the Senior Data Scientist will leverage their experience to gather and derive insights from complex data, assist the command with development initiatives, and facilitate digital transformation efforts. The work done in this role has a direct impact on mission readiness as the team's efforts go toward making a more resilient and data-driven organization.

Responsibilities

A Senior data scientist will have skills sets of both data analysts and data engineers. Senior Data scientists are responsible for designing, implementing, and maintaining a data pipeline. In addition, Senior Data Scientists shall interpret and analyze complex sets of data, as well as plan, execute, and manage ML projects with cloud-native platforms and advanced ML solutions. They understand some of the most challenging processes, technologies, and can leverage a vast array of methodologies in the field, such as data mining, natural language programming, and machine learning. Senior Data scientists must have a combination of skills that includes programming, mathematical modeling, statistics, and domain knowledge. They must combine an advanced math and statistics background with programming, domain knowledge, and communication skills to analyze data, create applied mathematical models, and present results in a form useful to the organization. They must also be able to understand and manipulate structured and unstructured large data sets, which requires proficiency in distributed SQL programming, relational and non-relational data queries, general programming languages (such as Python and R,) and machine learning techniques.

The Senior Data Scientist shall perform the following tasks:
• Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method.
• Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.
• Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
• Coordinate with Data Engineers to build Data environments providing data identified by other data professionals.
• Apply and develop scientific methodology, statistics, and algorithms to discover and frame relevant problems, hypotheses, and opportunities.
• Develop predictive and prescriptive modeling, natural language processing (NLP), Robotic Process Automation (RPA), text mining and processing, clustering, forecasting methods, and other advanced statistical techniques.
• Design and automate processes to facilitate the manipulation and analysis of data. Manage and integrate data across dissimilar data sets. Analyze large-scale structured and unstructured data.
• Use frameworks such as Spark and Hadoop to conduct large-scale data processing. Perform statistical modeling and create data visualizations using products like Tableau, Microsoft Power BI and R Shiny.
• Research, design, and implement algorithms to solve complex problems. Program using R, Python (NumPy, SciPy, Pandas) or similar analytical languages.
• Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake.
• Communicate complex concepts and hypothesis to a non-technical audience through digital storytelling.
• Be capable of instructing others on the use of Data Science practices and capabilities.

Requirements

A minimum of 6 years of hands-on Data Science experience is required.
A Bachelor's degree in a STEM field is required.
Proficiency in one or more programming languages (Java, C++, Python, R, etc.)
Demonstrated experience applying data science methods to real-world data problems.
Proficiency in Agile Development and GIT Operations
Secret Clearance minimum – Top Secret is preferred with SCI eligibility.

Preferred Qualifications

Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.
Top Secret Clearance with SCI Eligibility

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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Industrial Engineer - Warehouse Design & Automation

ShipMonk · Fort Worth, Texas, United States; Las Vegas, Nevada, United States; Louisville, Kentucky, United States; Pittston, Pennsylvania, United States

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Supply Chain Engineering Louisville, Kentucky Pittston, Pennsylvania Fort Worth, Texas Las Vegas, Nevada Posted Mar 13, 2026

About ShipMonk

ShipMonk isn't just a 3PL; we're a growth partner for merchants. We provide cutting-edge technology and a network of owned and operated fulfillment centers that empower high-growth ecommerce and DTC brands to stress less and grow more. With over 2,500 employees across five countries, we're on a mission to revolutionize fulfillment by providing everything from the fastest click-to-delivery and real-time inventory to custom solutions—all with a merchant-first mindset.

Why ShipMonk?

We believe in building for the long term, and our success is powered by five key differentiators that help us become true partners to our merchants.

● Global Fulfillment Network: Our 12+ owned and operated fulfillment centers span the US, Canada, Mexico, the U.K., and Mainland Europe. We never outsource, ensuring quality and consistency.
● Proprietary Technology: We've eliminated the need for tribal knowledge with our AI-powered platform. It provides a real-time, unified view of inventory and orders, giving our merchants the control and visibility they need to succeed.
● Unrivaled Support: We provide hands-on, "mom and pop" support with a global reach. Our dedicated teams are on-site at every fulfillment center, ready to jump into action.
● Transparent Pricing: We believe in honest, long-term partnerships. Our all- inclusive pricing means predictable costs, with no hidden fees or surprises.
● Committed to the Future: We invest over $10 million annually in research and development to ensure our technology and services continually evolve, helping merchants plant roots with a partner who is here to stay.

Our Core Values
Our values are the heart of our culture. We're looking for individuals who embody these principles every day.

● Merchant-first: We handle the logistics so our merchants can focus on what they do best—growing their business.

● Own it: We take ownership of our work, our mistakes, and our successes.
● People make ShipMonk: We believe in our team and invest in our people.
● Change the score: We challenge the status quo, constantly innovating and improving.
● Get sh*t done: We're a fast-paced, high-growth company that values action and results.

Overview

As the Industrial Engineer - Warehouse Design & Automation, you will be a technical leader responsible for designing, engineering, and scaling warehouse facilities across a multi-site fulfillment network. Your primary mission is to translate business demand and growth forecasts into data-driven, buildable warehouse designs that optimize throughput, labor efficiency, space utilization, and cost.

This role partners closely with Operations, Real Estate, Facilities, IT, Finance, and external automation vendors to deliver standardized, scalable solutions for greenfield builds, expansions, and retrofits. You will bring a strong systems mindset, deep understanding of material flow, and a bias for simplicity, operability, and long-term sustainability.

What You’ll Do

Warehouse Design & Engineering

Design end-to-end warehouse layouts for new facilities, expansions, and retrofits, supporting high-throughput fulfillment operations.
Engineer material flows from inbound receiving through outbound shipping, ensuring efficient, safe, and ergonomic processes.
Define building-level requirements including dock counts, clear heights, column spacing, power, floor loading, and equipment zoning, in partnership with cross-functional teams.
Develop and maintain layout drawings, design assumptions, and engineering narratives for leadership, finance, and vendor review.

MHE & Automation Engineering

Specify, evaluate, and engineer material handling and automation systems including:

Conveyors, sorters, and divert systems
Pick modules, pallet flow, case flow, and mezzanines
AMRs, AGVs, and goods-to-person solutions
Packaging, labeling, dimensioning, and weighing systems

Develop functional specifications, throughput targets, and redundancy strategies for automation systems.
Partner with integrators and vendors through RFPs, design reviews, FAT/SAT, commissioning, and go-live support.

Capacity Modeling & Data Analysis

Build capacity, throughput, and labor models using forecasted volumes, SKU profiles, and order characteristics.
Analyze peak scenarios, seasonality, and failure modes to stress-test designs.
Quantify trade-offs between labor, automation, space utilization, service levels, and cost.
Use post-launch operational data to refine assumptions and continuously improve design standards.

Financial Analysis & Business Case Development

Develop CapEx and OpEx estimates for MHE and automation investments.
Support ROI, payback period, and total cost of ownership analyses.
Partner with Finance and Leadership to support capital planning and investment decisions.
Drive standardization across facilities to reduce engineering variability and lifecycle cost.

Launch Support & Continuous Improvement

Support warehouse launches and expansions through go-live and stabilization.
Partner with Operations, Maintenance, and Controls teams to resolve systemic design issues.
Perform post-launch audits and feed learnings back into network design standards and playbooks.
Document and maintain reference designs, engineering standards, and best practices.

What You’ll Need

Bachelor’s degree in Industrial Engineering, Mechanical Engineering, Systems Engineering, or a related field.
Alternatively, equivalent hands-on experience designing warehouse automation systems may be considered.
5+ years of experience in warehouse design, material handling engineering, or automation.
Proven experience designing high-volume distribution or fulfillment centers.
Strong analytical and modeling skills, with advanced proficiency in Excel; SQL, Python, or simulation tools are a plus.
Proficiency in AutoCAD or similar layout and design tools.

Preferred Qualifications

Master’s degree in Industrial Engineering, Mechanical Engineering, Systems Engineering, or a related field.
Experience in large-scale e-commerce, retail, or 3PL fulfillment networks.
Familiarity with WMS concepts and system integration dependencies.
Greenfield warehouse launch experience.
Experience working directly with automation integrators or MHE vendors.

Key Attributes

Strong systems thinker with the ability to design for scale, peak, and failure scenarios.
Data-driven decision maker who can clearly communicate technical trade-offs to non-technical stakeholders.
Practical, operations-aware engineer who values simplicity, maintainability, and standardization.
Builder mindset with a desire to create mechanisms, standards, and repeatable solutions.

ShipMonk is an equal opportunity employer. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.