Staff Data Scientist, Data Products

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of measurement strategies for Syndio's essential user workflows, including offer endorsement, approval, and acceptance.

• Collaborate with engineering teams to design and validate event instrumentation for new features.

• Conduct in-depth analyses of feature adoption, workflow completion, user engagement, customer outcomes, and operational trends.

• Create and manage production-grade dashboards and self-service reporting using Mixpanel, BigQuery, and BI tools.

• Transform usage data into prioritized recommendations for technical, product, and executive stakeholders.

• Define and spearhead analytical strategies for new compensation and workforce data products.

• Integrate aggregated and anonymized first-party data with compensation market data, job postings, skills data, and other third-party resources.

• Develop diagnostics to assess compensation governance and execution health.

• Lead initiatives from exploration and hypothesis formulation through validation, productionization, commercialization, and launch.

• Assess proposed data products for analytical defensibility, interpretability, commercial value, privacy preservation, and responsible use.

• Contribute to Syndio's give-to-get data strategy.

• Act as a senior analytical partner in product discovery, sprint planning, roadmap discussions, business reviews, and product planning cycles.

• Collaborate with Data Science on experiment design, causal analysis, model evaluation, and measurement of model-assisted workflows.

• Work with Customer Success and Sales to link 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 usage.

• Provide technical and analytical leadership to fellow practitioners, enhance data literacy, and build self-service capabilities.

⛳️ Requirements

• Over 8 years of experience in product analytics, data science, analytics engineering, or a similar role, with significant experience supporting software products and/or developing analytical products.

• Expertise in AI-assisted development tools and workflows.

• Knowledge of emerging AI and BI innovations, including natural-language interfaces, automated insights, semantic layers, and agentic workflows.

• Proven track record of providing direction and leading complex, cross-functional initiatives with considerable product or business impact.

• Advanced proficiency in SQL and solid working knowledge of Python, R, or a comparable analytical language.

• In-depth understanding of statistical measurement, benchmarking, experimentation, data modeling, segmentation, data quality assessment, and analytical validation.

• Experience in designing event schemas, product measurement strategies, funnels, dashboards, and self-service reporting using tools like Mixpanel, Amplitude, Looker, Tableau, or equivalent.

• Demonstrated ability to combine large, imperfect datasets into analytically defensible, interpretable, and commercially valuable products or insights.

• Exceptional judgment and comfort operating in ambiguous and evolving problem spaces.

• Capability to influence senior stakeholders, articulate complex methodologies clearly, and foster alignment across technical and non-technical audiences.

• Extra credit: Experience with 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: Knowledge of GDPR/CCPA and related privacy considerations.

🏝️ Benefits

• Syndio Equity

• Flexible Vacation Policy

• Paid sick & safe time

• Compassion leave

• Voting leave

• Paid parental leave

• Medical, Dental, Vision; Syndio covers 90% of employee premiums and 50% for dependents

• Life Insurance & Disability; Syndio pays the full premium

• 401(k)

• Fully remote model