Staff Data Scientist, Data Products

Syndio • Home, WV

13h • $180,000 - $205,000 • Remote

About The Position

Syndio is seeking a Staff Data Scientist, Data Products to act as a senior analytical and product partner for their product and data-product portfolio. This role involves owning measurement strategies for the product platform, translating usage and business data into product decisions, and developing customer-facing analytical products by integrating various data sources. The position offers high autonomy and visibility, requiring leadership in cross-functional initiatives from discovery to launch. The individual will collaborate with Product, Data Science, Engineering, Privacy, Legal, Sales, and Customer Success, setting standards for analytical rigor, interpretability, data quality, and responsible data use. This is an individual contributor role with significant influence.

Requirements

• 8+ years of experience in product analytics, data science, analytics engineering, or a closely related role.
• Substantial experience supporting software products and/or developing analytical products.
• Proficiency with AI-assisted development tools and workflows for analysis, prototyping, code generation, documentation, and data-product development, including validation and judgment.
• Familiarity with emerging AI and BI innovation (e.g., natural-language interfaces, automated insights, semantic layers, agentic workflows) and their application to 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.
• 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 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.

Nice To Haves

• 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.

Responsibilities

• Own measurement strategies for Syndio's core user workflows, defining events, metrics, and success criteria to guide product decisions.
• Partner with engineering to design and validate event instrumentation for new features, ensuring accurate, consistent, and privacy-safe tracking.
• Conduct deep-dive analyses into feature adoption, workflow completion, user engagement, customer outcomes, and operational patterns to identify actionable insights.
• Build and maintain production-grade dashboards and self-serve reporting using Mixpanel, BigQuery, and BI tooling for product teams and senior leaders.
• Translate complex usage data into clear, prioritized recommendations for technical, product, and executive audiences.
• Define and lead analytical strategies for new compensation and workforce data products to enhance Syndio's value and differentiation.
• Identify opportunities to combine Syndio's first-party data with compensation market data, job-posting and skills data, and other third-party sources.
• Develop diagnostics to measure compensation governance and execution health, including policy-practice gaps, job-architecture health, governance adoption, strategic alignment, and overpayment risk.
• Lead complex initiatives from exploration and hypothesis formation through analytical validation, productionization, commercialization, and launch.
• Evaluate the analytical defensibility, interpretability, commercial value, privacy preservation, and responsible use of proposed data products.
• Contribute to the give-to-get data strategy by identifying signals that can strengthen Syndio's broader data assets.
• 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.

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed