Staff Data Scientist, Data Products

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.

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.

💰 Competitive Compensation. For this role our salary is targeted at $180,000 -$205,000 per year. Final offer amounts are determined by factors such as experience and expertise. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location.

🏆 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.

P aid 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

Below you'll find an outline of the interview plan for our Staff Data Science position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.

30 min interview with a member of our Talent Team

45 minute zoom interview with the Hiring Manager

Three video interviews with several team members

Final interviews with executive

At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us.

Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.