11 days ago

Data Scientist III

Keystone Recruitment

Hybrid
Full Time
$220,000
Hybrid

Job Overview

Job TitleData Scientist III
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$220,000
LocationHybrid

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Job Description

Overview

We are seeking an experienced Data Scientist III to support high-impact strategic initiatives across a large-scale product and platform ecosystem. This role is ideal for a data professional with strong analytical depth, experience working with complex datasets, and a proven ability to translate data into actionable business insights. The successful candidate will partner closely with Product and Engineering teams to drive product strategy, experimentation, and ecosystem health measurement.

Key Responsibilities

  • Data Analysis & Modeling
    • Analyze large, complex datasets to identify trends, patterns, and actionable insights
    • Build statistical and predictive models to support product and ecosystem decision-making
    • Deliver high-quality ad hoc analysis in response to urgent business needs
  • Metrics & Measurement
    • Design, implement, and maintain key metrics to measure product performance, engagement, and ecosystem health
    • Develop frameworks for long-term performance tracking and reporting
  • Experimentation
    • Design and execute structured experiments to evaluate product features, partnerships, and strategic initiatives
    • Apply statistical rigor and causal inference principles to interpret results
  • Reporting & Visualization
    • Build dashboards and reports using tools such as Tableau, Unidash, or Metrics360
    • Communicate findings clearly to both technical and non-technical stakeholders
  • Cross-Functional Collaboration
    • Partner with Product and Engineering teams to define analytical requirements
    • Present insights that directly inform product strategy and roadmap decisions

Minimum Qualifications

  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or related quantitative field
  • 5+ years of experience in data science, analytics, or similar roles
  • Advanced proficiency in SQL
  • Proficiency in Python or R
  • Experience with data visualization tools (Tableau, Unidash, Metrics360, or similar)
  • Strong communication skills and ability to present complex insights clearly
  • Ability to work independently in a fast-paced environment

Preferred Qualifications

  • Experience working with large-scale data infrastructure in technology or platform ecosystems
  • Familiarity with big data tools (e.g., Presto, Hive, Scuba or similar technologies)
  • Experience in experimentation design and causal inference methodologies
  • Prior experience in contractor or consulting environments
  • Previous experience at a major technology company

Required Core Competencies

  • Advanced Data Analysis & Modeling
  • Product Analytics & Metrics Development
  • Experimentation & Statistical Testing
  • Data Visualization & Storytelling
  • Cross-Functional Collaboration

Work Environment

Onsite in Menlo Park, CA. Fast-paced, product-driven environment. Cross-functional collaboration across product and engineering teams.

Key skills/competency

  • Data Analysis
  • Statistical Modeling
  • Predictive Analytics
  • Experimentation Design
  • Causal Inference
  • SQL
  • Python/R
  • Data Visualization
  • Product Analytics
  • Cross-Functional Collaboration

Tags:

Data Scientist III
Data Analysis
Statistical Modeling
Predictive Analytics
Experimentation
Causal Inference
SQL
Python
R
Tableau
Product Analytics
Big Data
Presto
Hive
Scuba

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How to Get Hired at Keystone Recruitment

  • Research Keystone Recruitment's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your Data Scientist III resume: Highlight advanced SQL, Python/R, statistical modeling, and experimentation design relevant to product ecosystems.
  • Showcase problem-solving skills: Prepare to discuss how you've translated complex data into actionable business insights for product and engineering teams.
  • Master data visualization and communication: Practice presenting complex analytical findings clearly to both technical and non-technical audiences.
  • Emphasize cross-functional collaboration: Be ready to provide examples of successful partnerships with product and engineering teams to drive strategy.

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