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Senior Data Scientist
1 month ago
"At WFM, the Worldwide grocery data analytics & science team (WWGS-DA) contributes to multiple science initiatives spanning across functional areas such as marketing, e-commerce, merchandising, financial and labour planning etc. The
WWGS-DA team is seeking a Sr. Data Scientist to use statistical and machine learning techniques to design, evangelize, and implement state-of-the-art solutions for solving instore merchandising-related applications. The scientist will also partner with technology and product teams to solve business problems using scientific approaches and continue building new services that surprise and delight our customers.
Responsibilities:
- Build and productionize supervised, semi-supervised and unsupervised data science models to support applications across multiple functional areas.
- Derive statistical estimations, understand key drivers, impacts across different merchandising decisions such as space planning, assortment, demand at scale.
- Helping to build, iterate and support production systems that take inputs from multiple models and make decisions in real time.
- Develop feedback loops and interactions amongst algorithms catering to multiple functional areas
- Effectively communicating with science, analytics, business, tech and product partners.
Skills:
- Demonstrates comprehensive understanding and application of data science concepts including statistical principles, ML algorithms/heuristics, optimization frameworks etc.
- Possesses advanced ability to use industry standard programming languages, best practices (Python/OOPs) and platforms (AWS Sagemaker/Git)
- Rapid experimentation in testing data science methods to extract new insights from data and modularizing code to production-ready state
- Leads efforts to interrogate data and data sets in a manner that logically addresses identified business issues.
- Able to analyze trends, data and information using data science techniques and develop insight-driven recommendations for leadership consideration.
- Models WFM principles and core values, commitment to customer service and amazon leadership principles.
Education & Experience:
- BA/BS degree and 4-6 years’ relevant experience in Statistics, Applied mathematics, Machine learning OR equivalent combination of education and relevant experience.
- Masters degree preferred."
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