Lead Data Scientist

ZipRecruiter; San Mateo (CA); Hybrid; USD 200,000 - 260,000; Full time

Job summary

A leading commerce marketplace is seeking a Lead Data Scientist to drive innovation across personalization and recommendation engines in a hybrid work environment. The role requires 7-10 years of experience in machine learning, expertise in Python and SQL, and exceptional communication skills to translate technical insights into business value. Join a high-impact team and contribute to enhancing user experience at scale.

Qualifications

• 7-10 years of experience building, deploying, and maintaining ML models at scale.
• Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow.
• Proven track record in consumer tech or large-scale marketplaces companies.

Responsibilities

• Lead full-lifecycle ML projects from idea to production.
• Own the ML development process from data exploration to model training.
• Collaborate cross-functionally with ML engineers and business stakeholders.

Skills

Python

SQL

Spark (PySpark or Scala)

PyTorch

TensorFlow

Machine Learning

Statistics

A/B Testing

Communication Skills

Job description

Job Description

Lead Data Scientist - Personalization & Recommendation Engines

Location: SF Bay Area - Hybrid (3 days/week onsite)

Salary: $200-260k base + Equity

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You'll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale.

What You'll Do

• Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement.
• Own the ML development process-from data exploration and feature engineering to model training, deployment, and post-launch optimization.
• Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives.
• Experiment with emerging AI techniques, including GenAI, Computer Vision, and LLMs, to push the boundaries of what's possible on the platform.
• Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion.

What You Bring

• 7-10 years of experience building, deploying, and maintaining ML models at scale.
• Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow.
• Proven track record in consumer tech or large-scale marketplaces companies.
• Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms.
• Background in user behavior modeling, search relevance, or real-time data systems.
• Strong foundation in experimentation (A/B testing), statistics, and applied ML.
• Exceptional communication skills and the ability to translate technical insights into business value.
• Experience with LLMs, RAG (Retrieval-Augmented ), or PEFT (Parameter-Efficient Fine-Tuning) techniques.