Senior Manager, Data Science/ML

TL;DR

Senior Manager, Data Science/ML: Building and leading the ML and experimentation foundation for personalized product experiences at scale with an accent on predictive modeling, personalization, recommendation systems, and causal inference. Focus on owning the end-to-end ML lifecycle, strategic product partnerships, and developing advanced analytics capabilities to drive customer engagement and retention.

New York, New York, United States

$225,000 — $240,000 USD

Company

Food delivery platform connecting chefs with customers, delivering 50 million fresh, ready-to-eat meals annually and expanding into an innovating marketplace to empower chefs.

What you will do

• Define and execute product data science strategy, partnering with Product, Growth, Engineering, and UX to influence roadmap with ML capabilities.
• Own end-to-end ML lifecycle for product use cases including problem framing, feature development, model training, deployment, and monitoring.
• Build, mentor, and scale a high-performing data science team focused on predictive modeling and production ML systems.
• Evolve personalization and recommendation systems, design experimentation frameworks, and develop causal inference methodologies.
• Define success metrics, build scalable dashboards, and conduct analyses on user behavior for product optimization.

Requirements

• 8+ years in data science, with 3+ years in leadership managing data scientists or ML engineers.
• Proven track record building and deploying ML models in production, especially personalization and recommendation systems.
• Deep expertise in experimentation, causal inference, A/B testing, and statistical methods.
• Strong product sense, business acumen, and experience in consumer tech, e-commerce, or marketplaces.
• Excellent communication to explain technical concepts and influence strategy.
• Hands-on proficiency in Python, SQL, ML frameworks (scikit-learn, PyTorch, TensorFlow), cloud infrastructure (AWS, GCP, Snowflake), and MLOps tools.

Nice to have

• PhD or Master's in Computer Science, Statistics, or related field.
• Experience with real-time ML, feature stores, generative AI, LLMs.
• Background in building data science teams or subscription/retention products.
• Knowledge of product analytics tools (Amplitude, MixPanel, Looker).

Culture & Benefits

• Health insurance, 401k plan, stock options from day 1, bi-annual performance bonus.
• Unlimited PTO, 5-year sabbatical (4 weeks paid), paid family and compassionate leave.
• Monthly hirify.global meal credits, wellness perks including fitness subsidies, personalized Spanish coach.