Note: The job is a remote job and is open to candidates in USA. CookUnity is a pioneering platform connecting the world with exceptional chefs and delivering millions of meals annually. They are seeking a Director of Data Science/ML to lead product innovation through advanced data science capabilities, driving personalized product experiences and strategic insights.
Responsibilities
- 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
- 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
Skills
- 10+ years of experience in data science, with at least 5 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 acumen—ability 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 skills—ability 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)
- 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)
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
- AI-forward workplace: enterprise access to ChatGPT and Claude to help you work smarter and grow faster.
- Personalized Spanish coach
Company Overview
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