Senior Manager, Data Science/ML

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $225k - $240k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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CookUnity

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2015

🛍️ eCommerce

👥 B2C

eCommerce • B2C • Food and Beverage

CookUnity is a meal delivery service offering a wide selection of chef-crafted, gourmet dishes delivered directly to customers' doorsteps. The company collaborates with award-winning chefs to create diverse, restaurant-quality meals that cater to various dietary preferences and lifestyles, such as keto, vegan, paleo, and more. CookUnity focuses on providing convenience and flexibility with options ranging from 4 to 16 meals per week, which can be customized or automatically selected based on the customer's preferences. The meals are delivered fresh, not frozen, ensuring high quality and taste. The company also emphasizes sustainability with its packaging solutions and seeks to reduce waste. CookUnity presents a convenient way to enjoy high-quality meals prepared by top chefs without the hassle of cooking.

📋 Description

• 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

🎯 Requirements

• 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)

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