CookUnity · 19 hours ago
Senior Manager, Data Science/ML
New York, New York, United States
Full-time
Onsite
Senior Level, Lead/Staff
$225K/yr - $240K/yr
8+ years expCookUnity is a pioneering platform focused on connecting people with exceptional food through chefs, delivering millions of meals nationwide. They are seeking a Senior Manager, Data Science/ML to drive product innovation by building a robust data science and machine learning foundation that enhances customer engagement and retention.
Food and BeverageLogisticsConsumer ApplicationsFood DeliveryOrganic FoodSubscription Service
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
Qualification
Required
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 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)
Preferred
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
Personalized Spanish coach
Awesome opportunity to join a company that is looking to change how we eat and how chefs work!
Company
CookUnity
CookUnity is a meal subscription and delivery platform that connects private chefs with consumers.
501-1000 employees
H1B Sponsorship
CookUnity has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (5)
2024 (3)
2023 (1)
2021 (1)
Funding
Current Stage
Late StageTotal Funding
$371.95MKey Investors
General CatalystInsight PartnersFuel Venture Capital
2025-11-19Debt Financing· $250M
2023-04-27Series Unknown· $47M
2022-12-08Series Unknown· $4.54M
Leadership Team
Mateo Marietti
CEO & co founder
Recent News
2026-02-04
FinSMEs
2025-12-24
Company data provided by crunchbase