Staff Data Scientist, Data Products

Syndio

. Own measurement strategies for Syndio's core user workflows, including offer endorsement, approval, and acceptance .

Posted 9/17/2026full-timeRemote • United StatesLead💰 $180,000 - $205,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product analytics and data science, with a strong focus on SQL, Python, and analytical methodologies. Capable of leading cross-functional initiatives and translating complex data insights into actionable recommendations for diverse audiences.

Highest-signal resume keywords

Product AnalyticsSQL ProficiencyPython ProficiencyEvent Schema DesignData Quality Assessment

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ScienceAnalytics EngineeringStatistical MeasurementData ModelingSegmentationAnalytical ValidationExperimentationDashboard DevelopmentSelf-Serve ReportingAI-Assisted Development

Soft Skills

Exceptional JudgmentInfluencing Senior StakeholdersClear CommunicationDriving Alignment

Tools & Technologies

MixpanelBigQueryTableauLookerAmplitude

Industry Keywords

CompensationPay EquityWorkforce PlanningLabor-Market DataPeople AnalyticsGDPRCCPA

Tech Stack

Tools & technologies

BigQueryPythonSQLTableau

About the role

Key responsibilities & impact

Own measurement strategies for Syndio's core user workflows, including offer endorsement, approval, and acceptance
Partner with engineering to design and validate event instrumentation for new features
Conduct deep-dive analyses into feature adoption, workflow completion, user engagement, customer outcomes, and operational patterns
Build and maintain production-grade dashboards and self-serve reporting in Mixpanel, BigQuery, and BI tooling
Translate usage data into prioritized recommendations for technical, product, and executive audiences
Define and lead analytical strategies for new compensation and workforce data products
Combine aggregated and anonymized first-party data with compensation market data, job-posting and skills data, and other third-party sources
Develop diagnostics measuring compensation governance and execution health
Lead initiatives from exploration and hypothesis formation through validation, productionization, commercialization, and launch
Evaluate proposed data products for analytical defensibility, interpretability, commercial value, privacy preservation, and responsible use
Contribute to Syndio's give-to-get data strategy
Serve as a senior analytical partner in product discovery, sprint planning, roadmap discussions, business reviews, and product planning cycles
Partner with Data Science on experiment design, causal analysis, model evaluation, and measurement of model-assisted workflows
Work with Customer Success and Sales to connect product usage and data-product insights to customer value, health, and renewal risk
Establish standards for event data, analytical quality, documentation, interpretability, privacy, and responsible data use
Provide technical and analytical leadership to other practitioners, raise data literacy, and build self-serve capability

Requirements

What you’ll need

8+ years of experience in product analytics, data science, analytics engineering, or a closely related role, including substantial experience supporting software products and/or developing analytical products
Proficiency with AI-assisted development tools and workflows
Familiarity with emerging AI and BI innovation, including natural-language interfaces, automated insights, semantic layers, and agentic workflows
Track record of setting direction and leading complex, cross-functional initiatives with significant product or business impact
Deep proficiency in SQL and strong working proficiency with Python, R, or a comparable analytical language
Advanced knowledge of statistical measurement, benchmarking, experimentation, data modeling, segmentation, data quality assessment, and analytical validation
Experience designing event schemas, product measurement strategies, funnels, dashboards, and self-serve reporting using tools such as Mixpanel, Amplitude, Looker, Tableau, or equivalent
Experience combining large, imperfect datasets into analytically defensible, interpretable, and commercially valuable products or insights
Exceptional judgment and comfort operating in ambiguous, evolving problem spaces
Ability to influence senior stakeholders, communicate complex methodologies clearly, and drive alignment across technical and non-technical audiences
Extra credit: Experience instrumenting or evaluating a GenAI-native product, including model-assisted workflows
Extra credit: Familiarity with compensation, pay equity, workforce planning, labor-market data, job architecture, skills taxonomies, or people analytics
Extra credit: Experience with compensation surveys, job-posting data, privacy-preserving analytics, or third-party data licensing and governance
Extra credit: Familiarity with GDPR/CCPA and related privacy considerations

Benefits

Comp & perks

Syndio Equity
Flexible Vacation Policy
Paid sick & safe time
Compassion leave
Voting leave
Paid parental leave
Medical, Dental, Vision; Syndio pays 90% of employee premiums and 50% for dependents
Life Insurance & Disability; Syndio covers the full premium
401(k)
Fully remote model