Applied Data Scientist

Title: Applied Data Scientist Location: Remote with required travel to Plano, TX • 1X Per quarter - 4x per year • Duration: 12 month contract with extensions/permanent placement possible (W2) Required Skills & Experience • 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. • Ability to speak directly with stakeholders to bring in complex questions, work with existing models, and be able to begin exploratory analysis Nice to Have Skills & Experience • Logistics simulation experience, API-driven optimization tools, and basic MLOps hygiene. 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. • • • This group is a financially focused group, looking at cost impacts for logistics and routing. This individual will have to be able to look at things from a cost perspective, and the goal is to improve the existing models to overall improve the accuracy of financial decisions. • • What You’ll Do • 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. 1. Compensation: $70.00-90.00/HR