Principal Data Scientist

G2
United States
Workplace: RemoteFull timeUSD 190,000 - 235,000 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsSkills: ["Communication","Mentoring","Stakeholder management","Technical leadership","Scientific rigor"]

Own and standardize experimentation at G2 and G2 Digital Markets, defining designs, randomization, metrics, guardrails, and how results are acted on. Partner with engineering and product to influence instrumentation and platform behavior, and develop end-to-end experimentation capability. Build and evaluate modern experimentation methods (including Bayesian and sequential approaches), design for real traffic/iteration constraints, and evangelize data science impact across stakeholders.

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FursaFursa
G2
G2
5 days ago

Principal Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Own and standardize experimentation at G2 and G2 Digital Markets, defining designs, randomization, metrics, guardrails, and how results are acted on. Partner with engineering and product to influence instrumentation and platform behavior, and develop end-to-end experimentation capability. Build and evaluate modern experimentation methods (including Bayesian and sequential approaches), design for real traffic/iteration constraints, and evangelize data science impact across stakeholders.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own the experimentation standard for G2 and G2 Digital Markets, consolidating practices into a documented, defensible approach across design, randomization, metrics, guardrails, and sample sizing/duration.
  • •Influence engineering and product adoption through tooling, templates, review, and hands-on partnership on instrumentation, assignment, and platform behavior.
  • •Define end-to-end experimentation requirements, including platform needs, telemetry, metric layers, analysis tooling, review processes, and organizational habits.
  • •Design experimentation methods that fit G2’s constraints, building a portfolio across volume regimes and decision speeds, including approaches for high-throughput testing and variance reduction.
  • •Evaluate and operationalize modern experimentation methods (e.g., Bayesian frameworks, sequential testing, bandits), and evangelize data science so experiment interpretation and communication are consistently high quality.

Pay and Benefits

Salary: USD 190,000 - 235,000 annually

Key Requirements

  • •8+ years of relevant experience in data science, applied statistics, or a related field with substantial experimentation focus (or a PhD plus 6+ years).
  • •Deep expertise in experimental design and causal inference, including failure modes like power/sensitivity analysis, variance reduction, multiple testing correction, and heterogeneous treatment effects.
  • •Working command of both frequentist and Bayesian approaches and judgment to choose appropriately for each decision.
  • •Demonstrated experience designing experimentation methodology for real products, not just analyzing results but determining how experiments should run.
  • •Strong practical experience with time series and web/behavioral data at scale, plus fluency in Python and SQL.
Experience:8+ years
Skills:CommunicationMentoringStakeholder managementTechnical leadershipScientific rigor
Tech Stack:PythonSQLSnowflakeSparkAirflowDbt

Company Brief

G2
Operates the world’s largest B2B software marketplace that collects and publishes user reviews to help organizations discover, evaluate, and manage software purchases and vendor reputation.
Industry: Online Marketplaces
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series D
Headquarters: Chicago, United States
Founded: 2012
Glassdoor
Glassdoor: 3.7
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