обновлено 6 дней назад
Director, Data Science/ML (AI)
240 000 - 270 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director, Data Science/ML (AI): Building the ML and experimentation foundation for personalized product experiences across a food marketplace with an accent on predictive modeling, recommendation systems, causal inference, and product measurement. Focus on leading the product data science function, deploying production ML systems, and improving customer engagement, retention, and lifetime value.
Location: United States (Remote)
Salary: $240,000–$270,000 USD per year
Company
is a chef-focused food marketplace delivering fresh, ready-to-eat meals and expanding beyond delivery through technology-driven product innovation.
What you will do
- Define and execute the product data science strategy in partnership with Product, Growth, Engineering, and UX leadership.
- Build, mentor, and scale a high-performing product data science team.
- Own the end-to-end ML lifecycle, from problem framing and feature development through deployment, monitoring, and iteration.
- Develop personalization, recommendation, predictive modeling, experimentation, and causal inference capabilities.
- Define product metrics, build monitoring systems and dashboards, and analyze user behavior to identify optimization opportunities.
- Partner with Analytics Engineering and the Growth Data Science & Analytics team to create a cohesive data science ecosystem.
Requirements
- 10+ years of data science experience, including at least 5 years leading data scientists or ML engineers.
- Production experience building and deploying ML models, especially for personalization, recommendation systems, or predictive modeling.
- Deep expertise in experimentation, A/B testing, causal inference, incrementality measurement, and statistical rigor.
- Strong product sense, business acumen, communication skills, and experience influencing product strategy.
- Hands-on proficiency in Python, SQL, and modern ML frameworks such as scikit-learn, PyTorch, or TensorFlow.
- Experience with AWS, GCP, or Snowflake and ML Ops tools including MLflow, Airflow, or Kubeflow.
Nice to have
- PhD or Master's degree in a quantitative field.
- Experience with real-time ML systems, feature stores, recommendation systems, embeddings, generative AI, or LLM applications.
- Experience building data science teams from scratch or scaling them rapidly.
- Background in subscription, retention-focused, consumer tech, e-commerce, or marketplace products.
- Knowledge of Amplitude, Mixpanel, or Looker.
Culture & Benefits
- Health insurance, 401(k), stock options granted on Day 1, and eligibility for a bi-annual performance bonus.
- Unlimited PTO, paid family leave, compassionate leave, and a four-week paid sabbatical after five years.
- Monthly meal credits and fitness subsidies.
- Enterprise access to ChatGPT and Claude, plus a personalized Spanish coach.
- AI-forward workplace focused on innovation, experimentation, and continuous learning.
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