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Senior Data Scientist - Remote

Remote, USA Full-time Posted 2026-06-20

Senior Data Scientist

Type: Permanent

Category: Development

Industry: Retail

Workplace Type: Remote

Reference ID: JN -122025-104840

Date Posted: 12/28/2025

Description:

Join a leading home improvement specialty retailer with over 2,300 stores across the U.S., Canada, and Mexico as a Senior Data Scientist! In this pivotal role, you will leverage advanced analytics to enhance business profitability and elevate customer experience. This is a full-time position offering a competitive salary range of $150k - $160k per year, along with a comprehensive benefits package. Relocation assistance is available if needed.

Note: This role will require you to work 4 days a week onsite near Smyrna.

Key Responsibilities:

  • Develop and implement complex algorithms and models utilizing large datasets.
  • Generate actionable business insights using advanced analytical techniques.
  • Collaborate with cross-functional teams to tackle and solve intricate business challenges.
  • Provide mentorship to junior data science team members.
  • Identify and capitalize on new business opportunities through data science initiatives.

Experience Requirements:

  • Proven experience in pricing analytics or optimization.
  • Solid understanding of prescriptive pricing and discounting strategies.
  • Experience in operations research and solving optimization problems.
  • Proficient in Python programming.
  • Ability to effectively communicate technical insights to key business stakeholders.

Preferred Skills:

  • Familiarity with Google BigQuery and SQL.
  • Experience with optimization tools such as Gurobi.
  • Proficiency in data visualization software like Tableau.

Education Requirements:

Master's or PhD in Computer Science, Math, Statistics, or a related field.

This opportunity not only offers the chance to make a significant impact on our business but also allows you to work in a dynamic and supportive environment. Apply now to be part of our innovative team!

apply to this job

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