Principal Data Scientist, Predictive AI

Genentech

Hybrid

Quick summary

Work type
Hybrid
Location
South San Francisco, CA
Salary
$207,480–$207,480 / yr
Posted
7 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $173k
This role $207k
$115k most similar roles pay here $237k

This role pays more than 65% of similar roles. Most pay $126,800–$219,043 — the shaded band above. At the midpoint, this role pays about $207k versus about $173k for comparable roles.

Based on 240 similar postings.

Employer

About Genentech

Genentech is a leading research-driven company dedicated to discovering and developing, manufacturing, and commercializing medicines for people with serious and life-threatening diseases.

Genentech currently has 9 open roles on FindRole.

Listed pay typically runs $177,310–$329,290 across 9 roles with salary data.

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At a glance

TL;DR · Principal Data Scientist, Predictive AI

As a Principal Data Scientist at Genentech’s Data, Digital, and Analytics (DDA) team, you will lead high-priority AI/ML projects, driving the development of enterprise recommendation engines and predictive models for Commercial, Medical Affairs, and Marketing domains. You will work independently to translate complex business challenges into actionable analytical roadmaps, collaborating with cross-functional teams to build scalable solutions that enhance customer experience and optimize marketing efficiency. The role demands expertise in deep learning, applied statistics, and advanced forecasting techniques, along with proficiency in Python, TensorFlow, PyTorch, and big data platforms like Hadoop and Spark. Ideal candidates have a background in quantitative fields and extensive experience in regulated environments such as healthcare or pharma, applying AI/ML to enterprise-scale data for tangible business outcomes.

What you'll do

  • Lead and guide the data science lifecycle for high-priority AI/ML projects.
  • Drive end-to-end development and deployment of AI solutions to optimize marketing efficiency and customer experience.
  • Serve as a critical technical advisor to leadership on long-term business strategies.
  • Apply advanced ML, deep learning, and statistical methods to complex healthcare data.
  • Collaborate with cross-functional teams to build scalable production-grade applications.

What we're looking for

  • - Over 7 years of hands-on AI experience with a focus on technical leadership.
  • - Proven expertise in developing recommender systems and predictive models for enterprise data.
  • - Deep proficiency in deep learning, causal inference, and advanced statistical modeling.
  • - Strong experience working with large-scale complex data environments using big data platforms.
  • - Advanced proficiency in Python and familiarity with open-source machine learning libraries.

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