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  • Emplois similaires à : Senior Analyst, Search & Recommendations Analytics
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Senior Data Scientist, Search & RecommendationsDick's Sporting Goods • New York, New York, United States
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Senior Data Scientist, Search & Recommendations

Dick's Sporting Goods
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Postuler Maintenant

À propos

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 signals (e.g., location, browsing history)
Collaborate with data and search engineers to build scalable data pipelines supporting search and recommendation systems
Partner with software engineers to integrate ML models into production services via APIs
Design and execute
A/B tests
to evaluate model performance and business impact
Monitor offline and online metrics to identify opportunities for improving relevance, ranking, and engagement
Apply modern ML and
GenAI techniques (embeddings, LLM‑based approaches)
to improve search and discovery experiences
Contribute to best practices in modeling, experimentation, and production ML systems
QUALIFICATIONS
5+ years of experience in data science, machine learning, or applied AI
Strong experience with
search, recommendation systems, or ranking problems
Hands‑on experience with
Elasticsearch and/or Solr
Strong Python skills and experience with ML frameworks such as TensorFlow or PyTorch
Experience with large‑scale data processing tools such as Spark and distributed systems
Experience integrating ML models into production systems via APIs
Experience with experimentation frameworks and
A/B testing
Strong understanding of ML fundamentals: supervised learning, ranking models, embeddings, deep learning
Exposure to GenAI tools (OpenAI APIs, LangChain, or similar) is a plus
Strong communication skills and ability to work cross‑functionally with engineering and product teams
Experience working in Agile environments
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Physics, or related quantitative field preferred
5-8 years of experience in data science, machine learning, or applied AI
Benefits Targeted Pay Range: $83,000.00 - $138,200.00. This is part of a competitive total rewards package that could include other components such as incentive, equity and benefits. Individual pay is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all teammate pay regularly to ensure competitive and equitable pay. DICK'S Sporting Goods complies with all state paid leave requirements. We also offer a generous suite of benefits. To learn more, visit www.benefityourliferesources.com.
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  • New York, New York, United States

Compétences linguistiques

  • English
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