Applied Data Scientist

Base Pay Range

$70.00/hr - $90.00/hr

Remote with required travel to Plano, TX (1X per quarter - 4x per year)

12 month contract with extensions/permanent placement possible (W2)

• 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 begin exploratory analysis.

• Logistics simulation experience, API-driven optimization tools, and basic MLOps hygiene.

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.

Note: 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.

• 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.

Mid-Senior level

Contract

Information Technology

Food and Beverage Manufacturing

• Vision insurance
• Medical insurance
• 401(k)