Note: The job is a remote job and is open to candidates in USA. Syndio is a pay governance and compensation intelligence platform that helps organizations make smarter, fairer compensation decisions. The Staff Data Scientist, Data Products will lead product measurement strategies, develop customer-facing analytical products, translate usage and workforce data into product decisions, and provide cross-functional analytical leadership.
Responsibilities
- Own measurement strategies for Syndi's core user workflows — including offer endorsement, approval, and acceptance — defining events, metrics, and success criteria that guide product decisions
- Partner with engineering to design and validate event instrumentation for new features, ensuring tracking is accurate, consistent, and privacy-safe from the start
- Conduct deep-dive analyses into feature adoption, workflow completion, user engagement, customer outcomes, and operational patterns to surface actionable insights
- Build and maintain production-grade dashboards and self-serve reporting in Mixpanel, BigQuery, and BI tooling that give product teams and senior leaders visibility into product health
- Translate complex, ambiguous usage data into clear, prioritized recommendations for technical, product, and executive audiences
- Define and lead analytical strategies for new compensation and workforce data products that make Syndio more valuable, differentiated, and difficult to replicate
- Identify high-value opportunities to combine Syndio's aggregated and anonymized first-party data with compensation market data, job-posting and skills data, and other third-party sources
- Develop diagnostics that measure compensation governance and execution health, including policy-versus-practice gaps, job-architecture health, governance adoption, strategic alignment, and overpayment risk
- Lead complex initiatives from early exploration and hypothesis formation through analytical validation, productionization, commercialization, and launch
- Evaluate whether proposed data products are analytically defensible, interpretable, commercially valuable, privacy-preserving, and responsible to use
- Contribute to the give-to-get data strategy by identifying which product and customer signals can strengthen Syndio's broader data assets over time
- 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 and champion standards for event data, analytical quality, documentation, interpretability, privacy, and responsible data use
- Provide technical and analytical leadership to other practitioners, raise data literacy across the product organization, and build self-serve capability
Skills
- 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, using them to accelerate analysis, prototyping, code generation, documentation, and data-product development while validating outputs and exercising sound judgment
- Familiarity with emerging AI and BI innovation — including natural-language interfaces, automated insights, semantic layers, and agentic workflows — and the ability to evaluate where these capabilities can improve analytical products and customer experiences
- A 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; able to determine when approximation is appropriate and when precision is required
- Ability to influence senior stakeholders, communicate complex methodologies clearly, and drive alignment across technical and non-technical audiences
- Experience instrumenting or evaluating a GenAI-native product, including model-assisted workflows
- Deep familiarity with compensation, pay equity, workforce planning, labor-market data, job architecture, skills taxonomies, or people analytics
- Experience with compensation surveys, job-posting data, privacy-preserving analytics, or third-party data licensing and governance
- Familiarity with GDPR/CCPA and related privacy considerations for user-level event data and aggregated or anonymized customer data
Benefits
- Syndio Equity. So you can share in Syndio’s success.
- Flexible Vacation Policy. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, and 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). To help you save for your future
- Fully remote model - #LI-Remote
Company Overview
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