Senior Data Scientist, Search & Recommendations

Posted An Hour Ago
Hiring Remotely in United States
Remote
83K-138K Annually
Senior level
Retail • Sports
The Role
Design, build, and deploy search and recommendation ML systems (ranking, retrieval, personalization, query understanding) using embeddings and LLM approaches. Collaborate with engineers and product to create scalable data pipelines, integrate models via APIs, run A/B tests, and monitor online/offline metrics to improve relevance and engagement.
Summary Generated by Built In

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

VIRTUAL REQUIREMENTS:

At DICK’S, we thrive on innovation and authenticity. That said, to protect the integrity and security of our hiring process, we ask that candidates do not use AI tools (like ChatGPT or others) during interviews or assessments.

To ensure a smooth and secure experience, please note the following:

  • Cameras must be on during all virtual interviews.

  • AI tools are not permitted to be used by the candidate during any part of the interview process.

  • Offers are contingent upon a satisfactory background check which may include ID verification.

If you have any questions or need accommodations, we’re here to help. Thanks for helping us keep the process fair and secure for everyone!


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.

Skills Required

  • 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
  • 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
  • Strong communication skills and ability to work cross-functionally with engineering and product teams
  • Experience working in Agile environments
  • Exposure to GenAI tools (OpenAI APIs, LangChain, or similar)
  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Physics, or related quantitative field

Dick's Sporting Goods Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Dick's Sporting Goods and has not been reviewed or approved by Dick's Sporting Goods.

  • Healthcare Strength Offers medical, dental, and vision coverage, plus life and disability insurance for eligible full-time teammates. Feedback suggests mental health resources, free counseling, and generous fertility benefits (including multiple IVF cycles in some cases) enhance perceived healthcare value.
  • Retirement Support Provides a company-matching 401(k) with eligibility extending to part-time teammates, along with a 529 college savings plan and the ability to take loans against 401(k) savings. Feedback suggests these features are seen as competitive for retail and add meaningful long-term value.
  • Parental & Family Support Includes paid parental leave and adoption assistance, alongside everyday supports like DailyPay for flexible access to earned wages. Feedback suggests these family-oriented benefits complement base pay for many teammates.

Dick's Sporting Goods Insights

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The Company
28,222 Employees
Year Founded: 2014

What We Do

YOU LIVE AND BREATHE SPORTS. SO DO WE. In work and in life. On the field, the court or the ice. Nothing wins like a commitment to excellence; to your team and your goals. At DICK’S Sporting Goods, it’s this kind of thinking that inspires our mission. Our culture is the result of people who give their all and always have their head in the game. People who are Passionate, Committed, Skilled and Driven to help athletes – and one another – achieve their personal best. That includes sharing our success to fund local teams, coaches and mentors. Sports can shape who we are and who we’re becoming. They can build character, transform communities and change lives. Our recognition of the power of sports creates a sense of purpose that empowers us to perform at the highest level for the athletes and communities we serve. If you love sports as much as we do, join us now. Opportunities exist at our 800+ Retail Stores, 5 Distribution Centers, and Corporate/Customer Support Center in Pittsburgh. Apply online at: DicksSportingGoods.jobs Headquartered in Pittsburgh, DICK'S also owns and operates Golf Galaxy and House of Sport stores, as well as GameChanger, a youth sports mobile app for scheduling, communications, live scorekeeping and video streaming. DICK'S offers its products through a dynamic eCommerce platform that is integrated with its store network and provides athletes with the convenience and expertise of a 24-hour storefront. To learn more about DICK'S visit our: Investor Relations Page: investors.dicks.com Check Out Our Sideline Report: investors.dicks.com/news/sideline-report Search & Apply for Jobs: dicks.com/jobs

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