CookUnity

CookUnity is a prepared meal delivery service by award-winning chefs, offering flexible meal plans nationwide. With hundreds of gourmet options, customers can choose meals based on their preferences and dietary needs, enjoying restaurant-quality dishes...

Hotels, Restaurants & Leisure

Consumer Discretionary

251-1K (390)

Founded 2015

$1M raised

44 open positions

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Director, Data Science/ML

1 month ago

Canada

Full-time

Executive

Data Scientist

Data Science and Analytics

Amplitude Apache Airflow AWS GCP Generative AI Kubeflow Looker Machine Learning Mixpanel MLflow Python PyTorch Scikit-learn Snowflake SQL TensorFlow

Apply Now

CookUnity

Hotels, Restaurants & Leisure

251-1K

Founded 2015

$1M raised

View All Jobs 44

Description

Define and execute the product data science strategy to identify ML and predictive analytics opportunities that improve customer experience and business outcomes.
Partner with Product, Growth, Engineering, and UX leaders to shape the product roadmap with data-driven insights and ML capabilities.
Serve as a thought leader on emerging techniques such as personalization, recommendation systems, causal inference, and generative AI.
Translate complex product challenges into clear data science problems with measurable success criteria.
Own the end-to-end ML lifecycle for product use cases, including problem framing, feature development, model training, deployment, monitoring, and iteration.
Align experimentation, measurement, and modeling efforts with the Growth Data Science and Analytics team.
Build, mentor, and scale a high-performing product data science team 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.
Own and evolve personalization and recommendation systems, and design experimentation frameworks that support rapid product testing and learning.
Develop causal inference methods to measure the true incrementality of product changes.
Define product success metrics, build dashboards and monitoring systems, and conduct deep-dive analyses on user behavior to identify optimization opportunities.

Requirements

10+ years of experience in data science, including at least 5 years in leadership roles managing data scientists or ML engineers.
Proven experience building and deploying ML models in production, especially for 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 with the ability to identify high-impact opportunities and turn them into data science initiatives.
Experience in consumer tech, e-commerce, or marketplace businesses where personalization and user engagement are important.
Excellent communication skills with the 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 such as scikit-learn, PyTorch, and TensorFlow.
Experience with cloud-based data infrastructure such as AWS, GCP, and Snowflake, plus MLOps tools such as MLflow, Airflow, and Kubeflow.
Preferred: PhD or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
Preferred: Experience with real-time ML systems and feature stores.
Preferred: Background in recommendation systems or two-tower/multi-modal embeddings.
Preferred: Familiarity with generative AI and LLM applications in product contexts.
Preferred: Experience building data science teams from scratch or during rapid growth.
Preferred: Prior work in subscription businesses or retention-focused products.
Preferred: Knowledge of modern product analytics tools such as Amplitude, MixPanel, and Looker.

Benefits

$210,000 to $250,000 CAD base salary range.
Health insurance coverage through Canada Life.
Stock options granted on day 1.
Eligibility for a bi-annual performance bonus.
Flexible paid time off.
Paid family leave.
4-week paid sabbatical after 5 years with CookUnity.
Compassionate leave of 3 to 5 days when needed.
Monthly CookUnity meal credits.
Enterprise access to ChatGPT and Claude.
Fitness subsidies and wellness perks.
Personalized Spanish coaching.

Interested in this position?

Apply directly on the company website

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