For our client, we are seeking a Data Scientist to join the team of a leader in the Retail & Consumer Goods space.
This role will shape experimentation, statistical modeling, and product analytics to drive better decisions across the business. You will work with fragmented and complex datasets to build scalable analytical capabilities that support self-service decision-making. In partnership with cross-functional teams, you will identify opportunities to improve products, define meaningful metrics, and translate findings into clear business recommendations.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $150,000 – $177,000 annually
Responsibilities
- Develop sophisticated statistical models and experiments to inform strategic decisions
- Build scalable analytical capabilities that connect fragmented data for self-service decision-making
- Own complex analytical initiatives from problem definition through communication of findings
- Partner with cross-functional teams to define metrics and identify product improvement opportunities
- Advance the team's technical capabilities by mentoring others and using new analytical tools
Qualifications
- 3+ years of experience in Data Science or a related analytical role, ideally in e-commerce or retail
- Strong foundation in experimentation, causal inference, statistical modeling, and product analytics
- Experience with complex datasets and building scalable analytical capabilities
- Proficiency in Python, R, and SQL; adept at leveraging LLMs and AI agents
- Excellent communication skills with the ability to translate complex concepts for business audiences
Benefits
- Community of diverse perspectives where all voices are valued
- Innovative company focused on disrupting the future of retail
- Commitment to teamwork and celebrating achievements together
- Focus on equity and sustainability in all initiatives
- Encouragement of a growth mindset and creativity to solve problems
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.