Senior Manager, Data ScienceML

The role:

Were looking for a Senior Manager Data Science/ML who will drive CookUnitys next phase of product innovation through forward-looking data science capabilities. This role goes beyond traditional analyticsyoull be responsible for building the ML and experimentation foundation that enables personalized intelligent product experiences at scale.

As Senior Manager youll own the strategic vision for how data science shapes our product roadmap. Youll build and lead a team focused on predictive modeling personalization experimentation frameworks and emerging ML capabilities that directly impact customer engagement retention and lifetime value. This is a high-impact role for someone who thinks strategically about the future of product science while remaining hands-on in driving technical execution.

Responsibilities:

Strategic Vision & Product Partnership

• Define and execute the product data science strategy identifying opportunities where ML and predictive analytics can unlock step-change improvements in customer experience and business outcomes
• Partner closely with Product Growth Engineering and UX leadership to influence product roadmap with data-driven insights and forward-looking ML capabilities
• Act as a thought leader on emerging data science techniques (personalization recommendation systems causal inference generative AI) and their application to product problems
• Translate complex product challenges into clear data science problems with measurable success criteria
• Own the end-to-end ML lifecycle for product use cases: problem framing feature development model training deployment monitoring and iteration
• Partner with the Growth Data Science & Analytics team to align experimentation measurement and modeling efforts into a cohesive end-to-end data science ecosystem.

Team Leadership & Development

• 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

Advanced Analytics & ML Capabilities

• 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

Product Measurement & Impact

• 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

Qualifications:

• 8 years of experience in data science with at least 3 years in leadership roles managing data scientists or ML engineers
• Proven track record building and deploying ML models in production particularly in personalization recommendation systems or predictive modeling
• Deep expertise in experimentation and causal inference including A/B testing incrementality measurement and statistical rigor
• Strong product sense and business acumenability to identify high-impact opportunities and translate them into data science initiatives
• Experience in consumer tech e-commerce or marketplace businesses where personalization and user engagement are critical
• Excellent communication skillsability to explain complex technical concepts to non-technical stakeholders and influence product strategy
• Hands-on technical proficiency in Python SQL and modern ML frameworks (scikit-learn PyTorch TensorFlow)
• Experience with cloud-based data infrastructure (AWS GCP Snowflake) and ML Ops tools (MLflow Airflow Kubeflow)

Preferred requirements:

• PhD or Masters 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)

What Success Looks Like

• 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

Learn More About CookUnity

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 were looking for we invite you to explore:CookUnitys 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 wed love to connect!

Benefits

Health Insurance coverage

401k Plan

We grow you grow: Stock Options Plan granted on Day 1

Eligible for a bi-annual performance bonus

Unlimited PTO

5- year Sabbatical: After 5 years with CookUnity you get a 4-week paid sabbatical

Paid Family leave

Compassionate Leave: 3-5 days each time the need arises

A generous amount of CookUnity credits to enjoy our amazing meals added to your account monthly

Wellness perks: access to fitness subsidies to build a healthy lifestyle

Personalized Spanish coach

Awesome opportunity to join a company that is looking to change how we eat and how chefs work!