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Kikoff

Staff Data Scientist, Grant

Kikoff · San Francisco

Posted 17 days ago

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

Is this posting real?

This role has been open
17 days
Kikoff's roles stay open a median of 69 days
Reposted
No
Salary listed
No
9% of Kikoff's roles list one
Ghost-job risk at Kikoff
high
37 stale, 0 reposted of 54 open
Hiring momentum
73 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-24

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

About this role

As a Staff Data Scientist for the Grant business at Kikoff, you will lead data initiatives for a specific product area, collaborating closely with product, engineering, and marketing teams. Your responsibilities include defining metrics, conducting experiments, and building models that inform product decisions, while also contributing to the overall data science practices across the company. You will play a key role in shaping how AI tools are integrated into the analysis process and drive data-driven decisions at the executive level.

Our read on this posting2.8out of 5
benefits
1/5
freshness
5/5
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 Kikoff as an employer.

What you need

  • Experience partnering with product, engineering, and marketing peers across the whole arc of the work: strategy, goal setting, approach, and execution, not just the analysis at the end.
  • A track record of defining metrics from scratch and getting a team to run on them.
  • Designed and run experimentation programs, including changes where clean randomization wasn't available. Comfortable with quasi-experimental and causal inference methods, and clear about their limits.
  • Hands-on with production-quality SQL and Python. You build pipelines, analyses, and models yourself.
  • Experience building or working closely with models that drive decisions in a product, in any domain: ranking, fraud, forecasting, personalization, underwriting, detection. We care about the judgment, not the vertical.
  • AI tools are a core part of your daily analytical work and you can show how they changed the speed and quality of what you ship.

Nice to have

  • Consumer fintech experience, especially products that expand access for un- and under-banked customers.
  • Built an experimentation or causal inference practice in an org that didn't have one.
  • Have taken a model from proof of concept to production, or shipped test and challenger models that changed a product decision.
  • Prior staff or tech-lead scope: set direction for other ICs and owned a domain's data strategy.
  • 8+ years in data science or analytics. Strong senior candidates will be considered for a Senior Data Scientist version of this role.

What you get

  • Base Range $265,000 — $306,000 USD

Worth weighing

  • No specific mention of remote work options or flexibility in work hours.
  • The role involves significant responsibility in shaping data practices across the company, which may be challenging for candidates not used to such scope.
  • The company is described as scaling fast, which may imply a rapidly changing environment.

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

Listed by Kikoff on their greenhouse job board, last confirmed open on 2026-10-24. PitchMeAI is not the employer.

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