Genentech discovers, develops, manufactures and commercializes treatments for patients with serious and life-threatening medical conditions. Backed by North Carolina Biotechnology Center.
About the role
As a Principal Data Scientist - Causal AI & Experimentation (within our Data Science and Machine Learning team), you will serve as a technical leader and key domain authority for advanced experimentation, measurement, and optimization solutions across the CMG organization. In this high-impact, individual-contributor role, you will bridge the gap between cutting-edge causal methodology and high-stakes business strategy. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Drive the technical design and methodology for key Causal AI, measurement, and experimentation projects, translating complex business objectives into robust mathematical and algorithmic frameworks
- Develop scalable algorithms to quantify the true causal impact of promotional and non-promotional activities, generating actionable recommendations for business optimization
- Act as a technical authority and subject matter expert (SME) in Causal AI. Provide technical guidance, perform code and design reviews, and mentor team members to foster technical excellence and continuous learning
- Translate complex causal modeling and statistical concepts into clear, compelling narratives and actionable guidance for both technical teams and non-technical business leaders
- You have aA Bachelor’s Degree and 8+ years of work experience, or an equivalent mix of education and work experience, is required
- You have 8+ years of relevant industry experience in Data Science, Applied Statistics, or ML engineering with a proven track record of architecting and shipping impactful data science products
More about this role
The Opportunity
As a Principal Data Scientist - Causal AI & Experimentation (within our Data Science and Machine Learning team), you will serve as a technical leader and key domain authority for advanced experimentation, measurement, and optimization solutions across the CMG organization. In this high-impact, individual-contributor role, you will bridge the gap between cutting-edge causal methodology and high-stakes business strategy. You will drive the design, development, and industrialization of enterprise-grade causal AI and statistical models that measure business impact, optimize resource allocation, and guide data-driven decision-making.
Working alongside other data scientists and engineers, you will help shape the technical strategy for measurement and experimentation initiatives. You will serve as a mentor to senior and junior data scientists, establish best-in-class modeling standards, and partner closely with cross-functional teams to deliver scalable AI solutions.
Key Responsibilities
- Drive the technical design and methodology for key Causal AI, measurement, and experimentation projects, translating complex business objectives into robust mathematical and algorithmic...
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