Director, Data Science/ML

CookUnity; United States; On-site; USD 148,000 - 176,000; Full time

Benefits offered by this job

Stock options

Performance bonus

Flexible PTO

Sabbatical (5 years)

Job summary

CookUnity is seeking a Director, Data Science/ML to drive the next phase of product innovation with ML capabilities that personalize experiences at scale.

You will own the strategic vision for data science in product, build and lead a team, and work closely with Product, Growth, and Engineering to shape the roadmap through predictive modeling and experimentation.

Qualifications

• 10+ years of experience in data science with at least 5 years in leadership roles
• Proven track record building and deploying ML models in production (personalization, recommendation systems, predictive modeling)
• Deep expertise in experimentation and causal inference including A/B testing and incrementality
• Strong product sense and business acumen to translate opportunities into data science initiatives
• Experience in consumer tech, e-commerce, or marketplace businesses with personalization and user engagement focus
• Excellent communication to explain complex concepts to non-technical stakeholders
• Hands-on Python, SQL, and modern ML frameworks (scikit-learn, PyTorch, TensorFlow)
• Experience with cloud data infra (AWS, GCP, Snowflake) and ML Ops tools (MLflow, Airflow, Kubeflow)

Responsibilities

• Define and execute the product data science strategy to unlock improvements in customer experience and business outcomes
• Partner with Product, Growth, Engineering, and UX to influence the roadmap with data-driven ML capabilities
• Lead advancement of personalization, recommendation systems, and experimentation frameworks
• Own end-to-end ML lifecycle: problem framing, feature development, model training, deployment, monitoring, iteration
• Collaborate with Growth Data Science & Analytics to align experimentation and modeling efforts into a cohesive ecosystem
• Build and mentor a high-performing data science team and foster a culture of innovation and learning
• Design scalable dashboards and real-time monitoring for product performance
• Translate complex product challenges into measurable data science problems

Skills

Leadership

Product sense

Strategic thinking

Communication

Education

PhD or Master's degree in CS/Statistics/Mathematics

Tools

Python

SQL

scikit-learn

PyTorch

TensorFlow

AWS

GCP

Snowflake

Airflow

Kubeflow

MLflow

Job description

About CookUnity:

Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry’s best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul.

Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world.

If that mission has you hungry in more ways than one, you’ve found the right job posting.

The role:

We're looking for a Director, Data Science/ML who will drive CookUnity's next phase of product innovation through forward-looking data science capabilities. This role goes beyond traditional analytics—you'll be responsible for building the ML and experimentation foundation that enables personalized, intelligent product experiences at scale.

You'll own the strategic vision for how data science shapes our product roadmap. You'll 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:

• 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)

Preferred requirements:

• 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)

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 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!

Benefits

Health Insurance coverage (Canada Life)

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

Eligible for a bi-annual performance bonus

Flexible Paid Time Off

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.

AI-forward workplace: enterprise access to ChatGPT and Claude to help you work smarter and grow faster.

Wellness perks: 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!

Compensation

All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.

Pay Range for this position

$210,000 — $250,000 CAD

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.

A quick note for all candidates

We’ve recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data) stay safe while applying to CookUnity. We also want you to know that we take this seriously — sometimes, as part of our process, we may ask for a brief “proof of humanity” to confirm that we’re connecting with a real person, not an impersonator.

Here are a few tips to help you protect yourself and know what to expect from us:

• Apply only through our official channels. All open roles are listed on our official careers page: careers.cookunity.com
• Our recruiters are real people — and easy to verify. You can always find them on LinkedIn with verified profiles. If you’re unsure, feel free to reach out to us on our official LinkedIn Company Page.
• We only communicate through official CookUnity channels. That means emails ending in an official domain and interviews held through official company platforms (Google Meet or Zoom) — never WhatsApp, Telegram, or SMS.
• We’ll never ask for payment or personal financial details. If anyone does, please don’t share any information and let us know right away.

If something ever feels off or you’re unsure about a message, we’d much rather you double-check with us. You can always contact us directly through any of our social media channels. We appreciate your interest in joining CookUnity — and we care about keeping your experience (and safety) as genuine as possible.