Senior Product Data Scientist

Collective

. Work with product, engineering, Operations, Finance, and Go-to-Market to shape product strategy and roadmap .

Posted 10/30/2026full-timeSan Francisco • California • United StatesSenior💰 $180,000 - $230,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product analytics, data engineering, and statistical analysis, with a strong ability to transform complex datasets into actionable insights. Proficient in SQL, Python, and tools like BigQuery and Fivetran, with a focus on clear communication and collaboration across teams.

Highest-signal resume keywords

Expert SQLStrong Scripting In PythonExperience With BigQueryProduct AnalyticsExperience With Segmentation And Churn Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceProduct AnalyticsAnalytics EngineeringData EngineeringStatistical AnalysisA/B TestingCohort AnalysisRetention AnalysisChurn AnalysisData Visualization

Soft Skills

Clear CommunicationAttention To DetailProblem SolvingCollaboration

Tools & Technologies

FivetranDbtBigQueryAmplitudeSegmentMetabaseStatsigLaunchDarkly

Industry Keywords

B2B SaaSFintechProduct StrategyData-Driven Insights

Tech Stack

Tools & technologies

BigQueryPythonSQLGo

About the role

Key responsibilities & impact

Work with product, engineering, Operations, Finance, and Go-to-Market to shape product strategy and roadmap
Share product insights regularly and challenge decisions with evidence
Lead product analytics across incorporation, bookkeeping, tax, and payroll
Turn large, messy datasets into clear analyses and visualizations
Analyze member behavior using segmentation, cohort, retention, and churn analysis
Identify and size membership and retention growth opportunities
Define, build, monitor, and report product metrics with tested definitions
Build clean, tested, documented datasets from product database, payments, support, and third-party sources using Fivetran, dbt, and BigQuery
Add data tests, monitoring, and lineage
Maintain metric definitions, semantic layers, and documentation for Claude and internal data agents
Resolve ambiguous, open-ended questions and deliver decisions with attention to detail

Requirements

What you’ll need

6+ years in data science, product analytics, analytics engineering, or data engineering
Bachelor's degree in mathematics, statistics, or a technical field, or equivalent practical experience
Expert SQL
Strong scripting in Python or R
Experience taking messy raw sources to trusted, tested datasets
Experience with BigQuery, dbt, and Fivetran or similar
Experience designing and interpreting A/B and multivariate tests
Understanding of statistical power and guardrails
Experience with Statsig, LaunchDarkly, or similar
Hands-on experience with Amplitude, Segment, Metabase, or similar
Ability to perform exploratory analysis with minimal direction
Product analytics and product sense
Clear communication of data-driven insights and trade-offs
Experience with segmentation, cohort, retention, and churn analysis
Ideally experience at a B2B SaaS or fintech company

Benefits

Comp & perks

Fresh lunch provided on in-office days
$150 monthly reimbursement for transit expenses
$200 quarterly reimbursement for wellness
Flexible PTO
14 company holidays
100% medical, dental, and vision coverage for employees
75% medical, dental, and vision coverage for dependents
16 weeks fully paid parental leave
401(k) plan
Equity package
Quarterly virtual events
Annual in-person summit
Hybrid work model with in-office and remote flexibility