We are looking for a hands-on Data Science Manager to lead our growing Data Science function while remaining deeply involved in solving high-impact machine learning problems.
Role Overview
While this role will initially focus on personalization, recommendation systems, and AI-powered customer experiences, you will also have the opportunity to contribute across a broad range of high-impact machine learning initiatives as business priorities evolve. As the technical leader and manager of the Data Science team, you will partner closely with Product, Engineering, and business stakeholders to translate ambiguous business problems into scalable, production-ready machine learning solutions that directly improve customer experience and business outcomes.
This is a hands-on leadership role. You will be expected to remain actively involved in designing, building, and reviewing machine learning solutions while coaching and growing a high-performing Data Science team. We're looking for someone with strong technical expertise, product intuition, analytical rigor, leadership skills, and the ability to operate independently in a fast-paced environment.
Key Responsibilities
- Lead, coach, and develop the Data Science team, providing technical guidance, feedback, and career development while fostering a high-performing, collaborative culture.
- Define the technical direction and priorities of the Data Science function, ensuring work is aligned with business strategy and delivers measurable customer impact.
- Lead strategic data science initiatives by partnering closely with cross-functional teams to identify, scope, and solve complex business problems.
- Analyze customer, product, and inventory data to identify high-impact opportunities where machine learning and AI can improve customer and business outcomes.
- Partner closely with Product and Engineering to identify customer problems, shape product strategy, and bring intelligent, AI-powered customer experiences to life.
- Design, build, deploy, and continuously improve recommendation systems, personalization solutions, and ranking models that enhance customer engagement, conversion, and retention.
- Design and analyze experiments, A/B tests, and causal inference frameworks to measure product and business impact.
- Develop customer similarity models, behavioral segmentation, and ranking approaches to improve personalization throughout the customer journey.
- Partner across Product, Engineering, and the broader Data organization to deliver scalable, production-ready machine learning solutions.
- Help shape hiring strategy, evaluate talent, and build a high-performing Data Science organization as the team continues to grow.
- Communicate insights, trade-offs, and recommendations clearly to both technical and non-technical stakeholders, including executive leadership.
- Drive best practices across the Data & Analytics organization around experimentation, statistical rigor, model governance, and machine learning development.
Benefits
- Paid Sabbatical after 5 years of continuous service.
- Exclusive employee subscription and rental discounts.
- 401k match.
- Work from home opportunities.
- Generous Paid Time Off including annual leave, paid bereavement, and family sick leave.
- Universal Paid Parental Leave for both parents with a flexible return to work program.
- Competitive Stakeholder Pension.
- Comprehensive health, dental care, and dependents care from day 1 of employment.
- Company-wide events and outings.
- Hybrid Work: Corporate employees have the option to work remotely 3 days a week.