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Director, Data Science/ML

6 hours, 35 minutes 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
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CookUnity

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
251-1K
Founded 2015
$1M raised
View All Jobs 51

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

Apply Now

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