4 days ago

Data Scientist III

North Star Staffing

Hybrid
Full Time
$215,000
Hybrid

Job Overview

Job TitleData Scientist III
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$215,000
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
  • Predictive Modeling
  • Statistical Models
  • Experimentation Design
  • Causal Inference
  • Product Analytics
  • SQL
  • Python
  • Tableau
  • Cross-functional Collaboration

Tags:

Data Scientist
Data Analysis
Predictive Modeling
Statistical Modeling
Experimentation
Product Analytics
Causal Inference
Metrics
Reporting
Visualization
Cross-functional Collaboration
SQL
Python
R
Tableau
Unidash
Metrics360
Presto
Hive
Scuba
Big Data

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How to Get Hired at North Star Staffing

  • Understand North Star Staffing's role: Recognize they are a staffing agency connecting talent to major tech companies, often requiring specific client alignment.
  • Tailor your resume strategically: Highlight advanced data science experience, complex dataset handling, and successful contributions to product and platform ecosystems.
  • Showcase client alignment: Research common challenges in large-scale tech product development and prepare to discuss relevant experience.
  • Master data science fundamentals: Prepare rigorously for interviews on SQL proficiency, Python/R coding for data analysis, and statistical/predictive modeling.
  • Emphasize collaboration and communication: Practice articulating complex data insights clearly and concisely to both technical and non-technical stakeholders.

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