Staff Data Scientist, Data Products

Job not on LinkedIn

🔥 4 minutes ago

🇺🇸 United States – Remote

💵 $180k - $205k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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Syndio

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

⚖️ Legal

Consulting • Healthcare • Legal

Syndio is a leading provider of pay equity solutions, focusing on helping organizations achieve pay transparency and equity across their workforce. The company offers a comprehensive platform with a range of tools and expert consulting to address pay gaps, ensure compliance, and make informed compensation decisions. Syndio empowers companies to develop strategies for fair and explainable pay policies, streamlining reporting and analytics to meet global compliance standards efficiently. With a strong emphasis on data privacy and security, Syndio is trusted by numerous large enterprises to analyze compensation for millions of employees worldwide.

📋 Description

• 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

• 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

• 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