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Data Scientist III | Remote

Remote / Online - Candidates ideally in
Menlo Park, San Mateo County, California, 94029, USA
Listing for: Crossing Hurdles
Remote/Work from Home position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Scientist
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Conduct rigorous analysis of large, complex datasets to identify trends, patterns, and actionable insights across products, platforms, partners, and user interactions.
  • Design, implement, and maintain critical metrics to measure ecosystem health, growth, and engagement.
  • Develop and execute structured experiments to evaluate new product features, ecosystem strategies, and partnerships.
  • Collaborate closely with cross-functional teams including Product and Engineering to define analytical requirements and inform strategic decision-making.
  • Build sophisticated dashboards and detailed reports to communicate insights to both technical and non-technical stakeholders.
  • Perform ad hoc analyses to support urgent business and strategic inquiries with high-quality, timely insights.
  • Apply advanced statistical modeling and analytical techniques to solve complex business problems.
  • Support strategic initiatives by translating data into clear, actionable recommendations.
Qualifications
  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a closely related quantitative field.
  • Strong professional experience in data science, analytics, or a comparable role.
  • Strong proficiency in SQL and at least one programming language such as Python or R.
  • Hands-on experience with data visualization tools including Tableau, Unidash, or Metrics
    360.
  • Excellent communication skills with the ability to clearly present complex findings to diverse stakeholders.
  • Demonstrated ability to work independently and manage competing priorities in a fast-paced environment.
  • Strong analytical, modeling, and problem-solving skills with attention to detail.
  • Experience working with large-scale datasets in technology or platform ecosystems preferred.
  • Familiarity with internal data tools such as Presto, Scuba, or Hive preferred.
  • Experience with experimentation design and causal inference methodologies preferred.
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