# Tech Lead Manager, Growth Data Science

**Company**: Anthropic
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $460,000 - $460,000
**Category**: Data Science
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5478799008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/tech-lead-manager-growth-data-science-79d5cd7a-99d/

## Description

As part of Anthropic's growing Data Science and Analytics team, you will play an instrumental role in driving data-informed decision making across the organization.

You will be the senior data science leader embedded in the Growth team and a strategic thought partner to its product and marketing leads.

Key responsibilities:

- Act as a strategic thought partner to Growth product and marketing leads, helping shape growth strategy, roadmap priorities, and major bets.

- Set the data science agenda for Growth, deciding where the Product Data Science team can have the most impact.

- Manage and develop a small team of Product Data Scientists.

- Frame the most important and ambiguous questions facing Growth.

- Define how Growth measures success, establishing core metrics, guardrails, and measurement frameworks.

- Set the standard for experimentation and causal inference across Growth.

- Guide how Growth measures the return on its programs.

- Turn complex analyses into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners.

- Establish foundational data practices and shape the analytics infrastructure Growth needs.

Minimum qualifications:

- Extensive experience in data science, including leading analytics for a growth or product area at significant scale.

- 5+ years managing data science teams.

- Experience as a trusted partner to senior product, growth, or marketing leaders.

- Strong product sense and business judgment across the growth funnel.

- Deep expertise in experimental design, causal inference, and statistical modeling at high scale.

- Fluency in Python and SQL.

Preferred qualifications:

- Experience measuring marketing incrementality.

- Experience with targeting, personalization, or uplift models in production.

- Background at consumption-based, multi-product companies serving both consumers and enterprises.

- Experience with AI/ML products or large language models.

The annual compensation range for this role is $460,000 - $460,000 USD.

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## Skills

### Required
- data science
- Python
- SQL
- experimental design
- causal inference
- statistical modeling

### Nice to have
- marketing incrementality
- targeting
- personalization
- uplift models
- AI/ML products
- large language models

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5478799008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)