Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees?

Syndio is a Series C technology company leveraging advanced technology and responsible AI to accelerate decision-making, streamline compliance, and democratize insights for consistent, equitable compensation practices at scale. Backed by $83M in investments from Bessemer Venture Partners, Voyager Capital, and Emerson Collective, we are expanding our team and products to help companies align their rewards strategies with their business goals.

Our customers are our greatest asset. Syndio partners with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance. We analyze pay for over 10 million employees across dozens of countries, ensuring fair, defensible rewards that drive better business outcomes.

Join us in our mission to help companies make smarter pay decisions they can trust!

About the role

We're looking for a Data Scientist with a customer mindset to join our growing data team and help transform raw, messy datasets into structured, useful data products that drive both internal insights and customer-facing features.

In this role, you won't just build - you'll define, shape, and deliver. You'll work directly with stakeholders and subject matter experts to scope opportunities, refine vision, and deliver data-powered solutions across our intelligent pay products and internal tools. A major focus will be integrating priority datasets, market benchmarks, and proprietary compensation data into scalable and innovative product experiences.

You'll also play a key role in supporting our AI Center of Excellence, helping to prototype and deliver AI-powered tools that enhance internal workflows and organizational productivity. We're looking for someone with hands-on experience building with generative AI - whether through LLM integrations, prompt engineering, or building lightweight tools and agents.
This is an ideal opportunity for someone who's technically strong, deeply collaborative, and excited to grow into a strategic role where initiative, innovation, and leadership potential are valued.

Why this job is exciting

Drive how our most important datasets power data-driven product features in compensation and intelligent pay.
Collaborate directly with stakeholders and SMEs to define and deliver scoped product and tooling work.
Support the AI Center of Excellence by designing and building GenAI-powered internal tools that improve employee workflows.
Build and maintain curated datasets and transformation pipelines in BigQuery.
Develop and iterate on AI prototypes - from prompt-powered tools to agents - to support cross-functional teams.
Help identify new use cases and scale high-impact tools for both external products and internal operations.

About you

Experience in data science, analytics engineering, or related fields, preferably in production environments.
Strong business acumen - able to connect data and technology work to organizational goals, understand tradeoffs, and prioritize for impact.
Entrepreneurial and self-directed-you take ownership, propose solutions, and drive initiatives forward.
Demonstrated ability to partner cross-functionally with both technical and non-technical stakeholders.
Strong proficiency in SQL and Python, especially for data wrangling, transformation, and tooling.
Hands-on experience building with generative AI (e.g., LLM-based tools, prompt workflows, integrations) - agent experience is a strong plus.
Experience working with large, complex datasets in a modern warehouse (BigQuery preferred).
Comfortable navigating ambiguous or messy data, with a problem-solving mindset.
Interested in compensation or HR data, and excited by the challenges of scaling structured data in real-world applications.
Motivated by impact and growth - you want to scale your influence and grow into a strategic role with broader ownership over time.

Nice to have

- Experience in product management or people analytics
- Experience working with labor market data, salary survey data, or expertise in Total Rewards
- Masters or PhD in Social Science, such as Economics
- Experience in project management

Why you'll love it here:

Competitive Compensation. For this role our salary is targeted at $178,000-$210,000 USD 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.
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
Remote-first model with local opportunities to meet up #LI-Remote

The interview overview

Below you'll find an outline of the interview plan for our Staff Data Scientist 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
A take-home assignment (This replaces live coding in further interviews)
1- hour interview with 2 member from our Data Science Team
30 minute final interview with our Director of Strategy

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.

Syndio

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