Strategic Retail Analytics Expert
4 days ago
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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