Senior Analyst, Data Science

About the Role

Key Responsibilities

• Build, validate, deploy, and maintain Data Science and Optimization models related to Pricing Optimization, Inventory Optimization, and Fulfillment Optimization.
• Design and implement sophisticated experimental frameworks utilizing advanced methodologies such as synthetic pairs, synthetic controls, and randomized controlled experiments to measure causal impacts on key performance indicators.
• Leverage robust statistical techniques, including difference-in-differences and regression analysis, while conducting comprehensive sensitivity analyses to produce actionable insights.
• Develop End to End simulation pipelines to mimic business phenomena and deploy the simulation to measure model performance.
• Create data validation and visualization dashboards to lead model validation and adoption 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 from analytics recommendations.
• Utilize machine learning models such as linear models, tree-based models, deep learning models, Bayesian models, and data mining techniques.
• Apply time series modeling to analyze and forecast data over time to identify trends and patterns.
• Design and measure experiments including hypothesis testing, A/B testing, and regression analysis to determine causal relationships.
• Use visualization tools like Tableau and Power BI to communicate insights.
• Work with cloud infrastructure such as Azure, AWS, or DataBricks.

Requirements

• Master's degree or foreign degree equivalent in Data Science, Operations Research, Statistics, or related field.
• Three (3) years of experience in Data Science or in the job offered.
• Experience with linear models, tree-based models, and deep learning models.
• Knowledge of time series modeling for trend analysis and forecasting.
• Experience in Inventory Optimization, Promo & Markdown Optimization, or Fulfillment Optimization.
• Proficiency in experiment design, hypothesis testing, and causal inference techniques.
• Skills in visualization tools like Tableau and Power BI.
• Experience with Bayesian Machine Learning Models.
• Data mining skills to discover insights from large datasets.
• Proficiency in Python programming and Data Science libraries such as Scikit-learn.
• Experience with cloud platforms like Azure, AWS, or DataBricks.

Nice to Have

• Experience with synthetic control methods and advanced experimental frameworks.
• Strong collaboration skills with cross-functional teams.
• Ability to develop and deploy simulation pipelines.

Benefits & Perks

• Merchandise discount for our brands: 50% off at Old Navy, Gap, Banana Republic, and Athleta; 30% off at Outlet.
• One of the most competitive Paid Time Off plans in the industry.
• Up to five 'on the clock' volunteer hours each month.
• Extensive 401(k) plan with company matching contributions up to four percent.
• Employee stock purchase plan.
• Medical, dental, vision, and life insurance.