Senior Analyst, Data Science

Reposted 4 Days Ago
2 Locations
In-Office
169K-222K Annually
Senior level
eCommerce • Fashion
The Role
The role involves developing and maintaining data science models for pricing, inventory, and fulfillment optimization. It includes designing experiments, performing statistical analyses, and collaborating with various teams to implement solutions and track performance metrics.
Summary Generated by Built In
About the RoleBuild, 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.

Skills Required

  • Master's degree in Data Science, Operations Research, Statistics, or related field
  • Three years of experience in Data Science or related role
  • Hands on experience in Inventory Optimization, Promo & Markdown Optimization, or Fulfillment Optimization
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The Company
Bristol
11,000 Employees
Year Founded: 1969

What We Do

In 1969, Don and Doris Fisher opened the first Gap store on Ocean Avenue in San Francisco. They wanted to make it easier to find a great pair of jeans, and they did. Their denim and records store was a hit, and it grew to become one of the world’s most iconic brands. Today we’re represented in more than 1400 stores in over 40 countries, and online. We have headquarters in New York, London, Shanghai, Tokyo, and, of course, San Francisco. Our unique aesthetic is optimistic cool, elevated American style. Our clothes are crafted with care, with focused attention to thoughtful design. We believe in staying true to our heritage while creating what’s next. Don and Doris Fisher always wanted to “do more than sell clothes.” They wanted to support the people who ran their company, to be active in their communities, and to have a positive impact on the world. Their vision helped transform retail, and we’re still following their lead. We stand for freedom and possibility for all; we champion diverse ideas that transcend generations, geographies and genders.

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