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Senior Data Scientist, Search & Recommendations - DICK'S Sporting Goods
Data Scientist
Lead the design and implementation of search and recommendation algorithms, leveraging machine learning, large‑scale data pipelines, and experimentation to improve the online shopping experience.
About the role
Key Responsibilities
- Develop and productionize search relevance and personalized recommendation models using Python, Spark, and AWS services.
- Design and execute A/B tests to evaluate model impact on conversion, engagement, and revenue metrics.
- Collaborate with product, engineering, and analytics teams to translate business requirements into data‑driven solutions.
- Build and maintain scalable data pipelines and feature stores from large‑volume transactional and behavioral data.
- Mentor junior data scientists and contribute to best‑practice standards for model development, monitoring, and governance.
Requirements
- 5+ years of experience as a data scientist or machine‑learning engineer, preferably in e‑commerce or retail.
- Strong proficiency in Python, SQL, and big‑data frameworks such as Spark.
- Hands‑on experience building recommendation or search relevance systems and evaluating them with rigorous experimentation.
- Familiarity with cloud platforms (AWS) and containerized deployment workflows.
- Excellent problem‑solving skills and ability to communicate complex analytical concepts to cross‑functional stakeholders.
Skills
pythonsqlmachine learningaws