Applied Data Scientist

Job Description

A retail client is hiring Applied Data Scientists to join their Profit to Serve (PTS) initiative—a priority program driving scenario modeling and last-mile routing optimization to improve profitability and service. PTS is a foundational enabler in our AI strategy, connecting precision costing with automated insights and routing simulations. You’ll work on-site in Plano, TX, partnering directly with transformation leaders to shape a high-impact initiative at the intersection of AI, data science, and operational excellence.

If you love fast iteration, hands‑on coding, and solving real‑world business problems, this is your opportunity to make an impact at scale.

• Build and iterate models for cost impact estimation, price elasticity, and routing optimization.
• Design clustering approaches for route/service segmentation and validate optimization assumptions.
• Translate ambiguous business questions into testable models and ship prototypes weekly.
• Collaborate closely with business partners and data science leads to deliver reusable solutions.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to  To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

• Strong coding skills in Python (pandas, numpy, scikit‑learn) and SQL.
• Experience with regression, elasticity estimation, clustering, and experimental validation.
• Comfort working with optimization outputs and constraints.
• Ability to wrangle data from cloud-based sources and iterate quickly with stakeholders.
• Logistics simulation experience, API‑driven optimization tools, and basic MLOps hygiene.