Strategic Retail Analytics Expert

4 days ago


St Louis, Missouri, United States Build-A-Bear Full time
Unlock Business Growth with Data-Driven Insights

About the Role:

We are seeking a highly experienced and strategic Data Scientist, Retail Strategy to join our dynamic team at Build-A-Bear. As a key player in shaping data-driven strategies, you will leverage your expertise in advanced analytics, machine learning, and statistical modeling to uncover actionable insights that drive business success.

Responsibilities:

  • Data Analysis and Research: Conduct cutting-edge research in machine learning and artificial intelligence to develop novel algorithms and models that solve complex problems.
  • Model Development: Design, implement, and experiment with new machine learning models to test and validate their performance using rigorous scientific methods.
  • Knowledge Transfer and Collaboration: Create clear and compelling visualizations that communicate insights to stakeholders at all levels, translate research findings into practical applications and solutions, and mentor junior researchers and interns.

Required Qualifications:

  • 5 years' experience in Data Science or Machine Learning.
  • Experience in a Retail environment.
  • Statistics and Machine learning expert.
  • Skilled with Python and Data Analysis.
  • High level business acumen.
  • Understanding of retail operations and strategy.

Prioritizing Success Metrics:

Your performance will be measured by your ability to achieve annual department objectives and corporate goals, including decision-making, judgment, and execution, as well as quality presentations that offer actionable insight and creation of practical applications/solutions based on data.

What We Offer:

  • $150,000 - $180,000 per annum.
  • A typical office environment with climate control and sufficient lighting, ergonomic desk/chairs.
  • Hybrid work schedule.
  • CORPORATE OFFICE LOCATED IN ST. LOUIS, MO.
  • Occasional Domestic Travel.

This is an exciting opportunity to join a leading retailer and contribute to its continued success. If you possess the skills and passion for data-driven insights, we encourage you to apply for this role.



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