<div><p>Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees?</p> <p>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.</p> <p>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.</p> <p>Join us in our mission to help companies make smarter pay decisions they can trust!</p></div><div><strong>About the role</strong></div> <div> <p>We’re looking for a <strong>Data Scientist with a customer mindset</strong> 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.</p> <p>In this role, you won’t just build - you’ll <strong>define, shape, and deliver</strong>. You’ll work directly with stakeholders and subject matter experts to scope opportunities, refine vision, and deliver data-powered solutions across our <strong>intelligent pay products</strong> and <strong>internal tools</strong>. A major focus will be integrating <strong>priority datasets, market benchmarks, and proprietary compensation data</strong> into scalable and innovative product experiences.</p> <p>You’ll also play a key role in supporting our <strong>AI Center of Excellence</strong>, helping to <strong>prototype and deliver AI-powered tools</strong> that enhance internal workflows and organizational productivity. We’re looking for someone with hands-on experience building with <strong>generative AI </strong>- whether through LLM integrations, prompt engineering, or building lightweight tools and agents.</p> <strong>This is an ideal opportunity for someone who’s technically strong, deeply collaborative, and excited to grow into a strategic role where <strong>initiative, innovation, and leadership potential</strong> are valued.</strong></div> <div> </div> <div><strong>Why this job is exciting</strong></div> <div> <ul> <li>Drive how our most important datasets power data-driven product features in compensation and intelligent pay.</li> <li>Collaborate directly with stakeholders and SMEs to <strong>define and deliver scoped product and tooling work</strong>.</li> <li>Support the AI Center of Excellence by <strong>designing and building GenAI-powered internal tools</strong> that improve employee workflows.</li> <li>Build and maintain curated datasets and transformation pipelines in BigQuery.</li> <li>Develop and iterate on AI prototypes - from prompt-powered tools to agents - to support cross-functional teams.</li> <li>Help identify new use cases and scale high-impact tools for both external products and internal operations.</li> </ul> </div> <div> </div> <div><strong>About you</strong></div> <div> <ul> <li>Experience in data science, analytics engineering, or related fields, preferably in production environments.</li> <li><strong>Strong business acumen</strong> — able to connect data and technology work to organizational goals, understand tradeoffs, and prioritize for impact.</li> <li>Entrepreneurial and self-directed—you take ownership, propose solutions, and drive initiatives forward.</li> <li>Demonstrated ability to <strong>partner cross-functionally with both technical and non-technical stakeholders</strong>.</li> <li>Strong proficiency in SQL and Python, especially for data wrangling, transformation, and tooling.</li> <li>Hands-on experience <strong>building with generative AI (e.g., LLM-based tools, prompt workflows, integrations)</strong> — agent experience is a strong plus.</li> <li>Experience working with large, complex datasets in a modern warehouse (BigQuery preferred).</li> <li>Comfortable navigating ambiguous or messy data, with a problem-solving mindset.</li> <li>Interested in compensation or HR data, and excited by the challenges of scaling structured data in real-world applications.</li> <li><strong>Motivated by impact and growth — you want to <strong>scale your influence</strong> and grow into a <strong>strategic role with broader ownership</strong> over time.</strong></li> </ul> <p><strong>Nice to have</strong></p> <ul> <li> <ul> <li>Experience in product management or people analytics </li> <li>Experience working with labor market data, salary survey data, or expertise in Total Rewards</li> <li>Masters or PhD in Social Science, such as Economics </li> <li>Experience in project management</li> </ul> </li> </ul> </div> <div> </div> <div><strong>Why youll love it here:</strong></div> <ul> <li>💰 Competitive Compensation. For this role our salary is targeted at $178,000-$210,000 USD | $170,000 -$199,000 CAD per year. Final offer amounts are determined by factors such as experience and expertise. </li> <li>🏆  Syndio Equity. So you can share in Syndio’s success.</li> <li>🏝 20 day Vacation Policy. Plus paid sick &amp; safe time, compassion leave, and voting leave. </li> <li><span> P</span>aid parental leave</li> <li>🩺  Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents.</li> <li>🏥  Life Insurance &amp; Disability. Syndio covers the full premium.</li> <li>🏦 RSSP To help you save for your future</li> <li>Fully remote model - #LI-Remote </li> </ul> <p><strong>The interview overview</strong></p> <p>Below youll 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.</p> <ul> <li>30 min interview with a member of our Talent Team</li> <li>45 minute zoom interview with the Hiring Manager</li> <li><strong>A take-home assignment (This replaces live coding in further interviews)</strong></li> <li>1- hour interview with 2 member from our Data Science Team</li> <li>30 minute final interview with our Director of Strategy </li> </ul><div><p><span>At Syndio, were building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, wed love to talk with you even if you dont 100% meet the about you listed here. We dont expect anyone to have all the answers, as long as youre willing to learn and grow with us.</span></p> <p>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. </p></div>