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!

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.

• 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.

• 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