Director, Data Science/ML

Build, mentor, and scale a high-performing product data science team capable of delivering both strategic insights and production ML systems

Foster a culture of innovation, experimentation, and continuous learning within the data science organization

Create career development pathways that attract and retain top data science talent

Collaborate with Analytics Engineering to ensure seamless model deployment and monitoring

Own and evolve personalization and recommendation systems that drive engagement and conversion across the customer journey

Design and implement robust experimentation frameworks that enable rapid, high-quality product testing and learning

Develop causal inference methodologies to understand true incrementality of product changes.

Ensure models are observable, explainable where needed, and continuously improved post-launch

Define product success metrics and measurement frameworks that align with business objectives

Build scalable dashboards and monitoring systems that provide real-time visibility into product performance

Conduct deep-dive analyses on user behavior patterns to uncover opportunities for product optimization

PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field

Experience with real-time ML systems and feature stores

Background in recommendation systems or two-tower/multi-modal embeddings

Familiarity with generative AI and LLM applications in product contexts

Experience building data science teams from scratch or through periods of rapid growth

Prior work in subscription businesses or retention-focused products

Knowledge of modern product analytics tools (Amplitude, MixPanel, Looker)

6 months: Established product data science roadmap aligned with business priorities; shipped at least one high-impact ML model to production; built strong partnerships with Product and Engineering leadership

12 months: Scaled the product data science function with key hires; delivered measurable improvements in personalization and customer engagement metrics; implemented robust experimentation frameworks used across product teams

We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we’re looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale.

We hope this provides valuable insight into our culture and product vision. If this excites you, we’d love to connect!

If you’re interested in this role, please submit your application, and if we think you might be a fit, we'll get in touch with you. Thank you for your time!

CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.

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