Company
SeniorAnalyst,DataScience
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“Senior Analyst, Data Science. Skills: Data Science, Optimization models, Experimental frameworks, Statistical techniques, Time Series Modeling, SQL, Python, PowerBI, Tableau, ML & Data Science Libraries. 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, synthe”
What You'll Achieve.
measure causal impacts on key performance indicators; producing actionable insights; measure model performance; lead model validation and adoptions; measure actions resulting from analytics recommendations; identify trends and patterns in sales; making data-driven decisions
Industry & Context.
Optimization models; Experimental frameworks; Statistical techniques; Simulation pipelines; Data validation; Model validation; Time Series Modeling; Variance-reduction techniques; Stochastic systems
What They're Looking For.
Must Have
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 or a related role, SQL, Python Programming Language, PowerBI or Tableau, ML & Data Science Libraries like Scikit, Tensorflow, Pytorch
What You'll Do.
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
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
as well as the central Data Science & AI team
to set up data science roadmaps and measure actions resulting from analytics recommendations
Bayesian Machine Learning Models AND Deep learning models to define various allocation optimization
price optimization or fulfillment optimization
Time Series Modeling to analyze and forecast data collected over time to identify trends and patterns in sales
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
How You'll Work.
Team & Collaboration
Collaborate with Inventory Management, PdM, and Strategy teams, as well as the central Data Science & AI team; collaborations with functional stakeholders
Process & Methodology
set up data science roadmaps
Full 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
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