DICK'S Sporting Goods

Senior Data Scientist, Search & Recommendations

US$83,000-$138,200Posted 16 days ago

Job Description

Role

Senior Data Scientist, Search & Recommendations

Location

United States

City, State

Remote

Job Area

Full time

Job ID

202609022

Job Category

Technology

At DICK'S Sporting Goods, we believe in how positively sports can change lives. On our team, everyone plays a critical role in creating confidence and excitement by personally equipping all athletes to achieve their dreams. We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve.

If you are ready to make a difference as part of the world's greatest sports team, apply to join our team today!

OVERVIEW

As a Senior Data Scientist, Search & Recommendation, you will be a key individual contributor within the AI/ML team responsible for building and improving intelligent search and recommendation systems that power customer and athlete experiences across omnichannel platforms. You will collaborate closely with machine learning engineers, software engineers, product managers, and data engineers to design and deploy models that improve relevance, personalization, ranking, retrieval, and discovery. This role focuses on applied machine learning and GenAI-driven systems across both search and recommendation domains.

Job purpose

You will be a hands-on data scientist responsible for designing, building, and iterating ML models that improve search and recommendation experiences at scale. You will work closely with engineering and product teams to translate business goals into production-ready ML systems.

Responsibilities

  • Design and implement machine learning models for search and recommendation systems, including ranking, retrieval, personalization, and query understanding
  • Build ranking and recommendation models using user behavior, embeddings, content signals, and contextual features
  • Develop personalization systems that tailor results based on user behavior, preferences, and contextual...

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