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Senior Data Scientist

Kikoff · San Francisco · Active · Greenhouse

Job facts

FieldValue
CompanyKikoff
TitleSenior Data Scientist
Normalized title-
Department / teamData
LocationSan Francisco, CA, United States
Work model-
Employment type-
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2026-04-11 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Kikoff.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Data.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyKikoff
Sourcec1e75776-0fd5-465a-81a6-188d36242c28
ATS providerGreenhouse

Description

Kikoff: The Fintech Powering Financial Security at Scale Kikoff is a profitable, pre-IPO fintech company on a mission to empower everyone to achieve financial security. With record revenue growth in 2025 and a unicorn valuation, we've built a suite of products that help millions of people build credit, access liquidity, and save money. We're scaling fast. Join us if you want to build something meaningful and help millions of people move forward financially. Why Kikoff: This is a consumer fintech startup, and you will be working with serial entrepreneurs who have built strong consumer brands and innovative products. We value extreme ownership, clear communication, a strong sense of craftsmanship, and the desire to create lasting work and work relationships. Yes, you can build an exciting business AND have real-life real-customer impact. About the Role As a Senior Data Scientist at Kikoff, you work closely with cross functional teams incl. Product, Engineering, Design, Data Engineering, Marketing, Operation. By applying your technical skills, analytical mindset, and product intuition, you will help our customers improve their financial security. You will use data to identify and solve product development’s biggest challenges. Your responsibilities includes: Product leadership: use data to shape product development, identify new opportunities, set goals, quantify upcoming challenges, and ensure the products we build bring value to our customers. Measurement excellence: define what success means to our users and our business, build scalable framework to measure them. Technical ownership: develop hypotheses and employ a diverse toolkit of rigorous analytical approaches, causal inference / ML methodologies, and experimentation best practices to validate them. Communication and influence: convince and influence your partners by telling clear data stories. Qualifications Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field A minimum of 5 years of work experience in analytics Experience leading data science for an ambiguous and fast-changing product or technical area, working with senior partners in leadership, product, engineering Expert knowledge of SQL and experience with Python Deep understanding of statistical analysis, experimentation design, common ML and causal inference techniques Excellent verbal and written communication skills A humble collaborative can-do attitude and bias to action Nice to Have Enthusiasm and comfort with using AI in analytics or for fintech problems Experience with Machine Learning especially in a production environment Base Range $226,000 — $254,000 USD Equal Employment Opportunity Statement Kikoff Inc. is an equal opportunity employer. We are committed to complying with all federal, state, and local laws providing equal employment opportunities and considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. Please reference the following for more information .

Full job record

Job ID1a34e46db9d339795d9d7bd0ea7d5cbe9dfd2b69
Org IDd759b6bf-a9a4-4a42-b0ae-69e9d093b60f
Source IDc1e75776-0fd5-465a-81a6-188d36242c28
Board IDc1e75776-0fd5-465a-81a6-188d36242c28
Providergreenhouse
Provider Job Key4216103009
TitleSenior Data Scientist
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco
DepartmentData
Team
Employment Type
Workplace Type
Remote Policy
CountryUnited States
RegionCA
CitySan Francisco
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://job-boards.greenhouse.io/kikoff/jobs/4216103009
Apply URLhttps://job-boards.greenhouse.io/kikoff/jobs/4216103009
First Seen At2026-05-29 22:43:03Z
Last Seen At2026-06-06 07:35:24Z
Last Checked At2026-06-06 07:35:24Z
Last Changed At2026-05-29 22:43:03Z
Inactive At
Source Posted At2026-04-11 00:04:48Z
Source Updated At2026-04-11 00:04:48Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=kikoff/date=2026-06-06/2026-06-06T07-35-24-004Z-9253d0732e06a689557e63d87b9dd179eb7ad018a2b9e4280937a9850142d1d4.json
Event Fields
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  "last_changed_at": "2026-05-29T22:43:03.846Z",
  "active_status": "active"
}
Parsed Structured
{
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    "city": "San Francisco",
    "region": "CA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.75
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T07:35:24.133Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
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      "city": "San Francisco",
      "region": "CA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.75
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": null,
  "workplace_type": null,
  "salary_currency": null
}
Extensions
{}
Native Structured
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  "metadata": [
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      "name": "Base Range",
      "value": {
        "unit": "USD",
        "max_value": "260000.0",
        "min_value": "160000.0"
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  "updated_at": "2026-04-10T20:04:48-04:00",
  "departments": [
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      "name": "Data",
      "child_ids": [],
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    }
  ],
  "company_name": "Kikoff",
  "requisition_id": 4126744009,
  "first_published": "2026-04-10T20:04:48-04:00",
  "application_deadline": null
}
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