Senior Analyst, Data Science

Location: Dallas-Coppell/Vari

Remote Type: Not Remote

Time Type: Full time

Job Description

About the Role

Build, validate, deploy, and maintain Data Science and Optimization models pertaining to Pricing Optimization, Inventory Optimization, and Fulfillment Optimization. Design and implementation of sophisticated experimental frameworks utilizing advanced methodologies such as synthetic pairs, synthetic controls, and randomized controlled experiments to rigorously measure causal impacts on key performance indicators, leveraging robust statistical techniques, including difference-in-differences and regression analysis, while conducting comprehensive sensitivity analyses and producing actionable insights. Develop End to End simulation pipelines to accurately and realistically mimic business phenomenon and deploy the simulation to measure model performance. Develop data validation and visualization dashboards to lead model validation and adoptions collaborations with functional stakeholders. Collaborate with Inventory Management, PdM, and Strategy teams, as well as the central Data Science & AI team, to set up data science roadmaps and measure actions resulting from analytics recommendations

Salary Range: $169,240 - $222,100
Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.

What You'll Do

1. Bayesian Machine Learning Models AND Deep learning models to define various allocation optimization, price optimization or fulfillment optimization policies;

2. Time Series Modeling to analyze and forecast data collected over time to identify trends and patterns in sales fluctuations;

3. Hands on experience in at least two of the following areas: Inventory Optimization, Promo & Markdown Optimization, and Fulfillment Optimization;

4. Design and implement experimentation and simulation methods with variance-reduction techniques and apply them to analyze stochastic systems (e.g. queues, inventory models) for estimating performance measures and making data-driven decisions; and

5. SQL, Python Programming Language, PowerBI or Tableau, ML & Data Science Libraries like Scikit, Tensorflow, Pytorch.

Who You Are

Master’s degree or foreign degree equivalent in Data Science, Operations Research, Statistics, or related field and three (3) years of experience in Data science or in the job offered or a related role.