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Anthropic

Data Scientist, Marketing

Anthropic · New York City, NY | Seattle, WA; San Francisco, CA

Posted about 3 months ago

or apply directly on Anthropic's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
Anthropic's roles stay open a median of 76 days
Reposted
No
Salary listed
No
0% of Anthropic's roles list one
Ghost-job risk at Anthropic
high
587 stale, 19 reposted of 603 open
Hiring momentum
795 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-22

Measured from postings appearing on and disappearing from Anthropic's own greenhouse board since 2026-08-03. Full hiring picture for Anthropic.

About this role

As a Data Scientist on the Growth team at Anthropic, you will focus on personalization by building and evaluating models and experiments that tailor messages, offers, and product experiences for users. Your responsibilities will include designing tests to improve personalization strategies, analyzing A/B tests, and developing metrics that connect short-term wins to long-term value, all while collaborating with product managers and engineers.

Our read on this posting2.4out of 5
benefits
3/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Anthropic as an employer.

What you need

  • Experience applying data science to growth, lifecycle, or personalization problems
  • Experience building and shipping machine learning models that drive user-facing decisions, such as targeting, ranking, recommendation, or personalization
  • Experience with experimental design and causal inference, including A/B testing at scale, holdouts, and quasi-experimental methods
  • Proficiency in Python and SQL
  • Experience communicating analysis in writing and making recommendations that influenced priorities across teams
  • Ability to prioritize and make progress when requirements are unclear or changing

Nice to have

  • 7+ years of experience in data science
  • Experience running contextual bandits, uplift models, or similar decision systems in production
  • Experience with lifecycle or CRM personalization (email, push, in-product messaging) and its measurement challenges, such as global holdouts and interference between campaigns
  • Experience defining activation metrics and lifecycle measurement for a product-led business
  • Experience with experimentation platforms and meta-analysis across experiment portfolios

What you get

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Lovely office space for collaboration

Worth weighing

  • No specific mention of required years of experience beyond the minimum qualifications
  • The role involves a significant focus on personalization and growth, which may not appeal to those looking for traditional data science roles
  • Visa sponsorship is available, but not guaranteed for every candidate
  • The company emphasizes a collaborative and communicative work environment, which may require strong interpersonal skills

Summarised from Anthropic's posting. Read the full original.

Listed by Anthropic on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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