Senior Data Scientist

Supplier.io is the market leader in supplier intelligence, trusted by over half of the Fortune 100 to power smarter, more responsible sourcing decisions. Our platform helps corporate procurement teams discover, evaluate, and engage with over 11 million suppliers with a focus on local, small, diverse, and sustainable businesses. This helps organizations build supply chains that are resilient, inclusive, and built for impact. Our solutions empower today’s procurement teams with accurate data, actionable insights, and measurable impact, which helps them mitigate risk, expand sourcing options, achieve ESG goals, and advance economic inclusion. Whether tracking spend, sourcing alternate suppliers, or measuring program results, Supplier.io transforms complexity into clarity; empowering teams to lead with confidence and build supply chains that deliver for both business and community. Join a company committed to innovation, inclusion, and making a difference one sourcing decision at a time. For more information, visit www.supplier.io. The Opportunity Supplier.io is expanding our data team and is seeking a Senior Data Scientist with a strong data science orientation to play a critical role in scaling and modernizing our supplier intelligence platform. This role is weighted approximately 80% toward data science and 20% toward data engineering, which is ideal for someone with deep, hands-on experience building and training ML and NLP models and who is equally comfortable operationalizing those models within production data pipelines. You will bring strong architectural thinking, thrive in complex environments, and enjoy mentoring others while collaborating across teams, geographies, and disciplines. A central focus of this role is Entity Resolution, which is the process of identifying, linking, and merging records across disparate data sources that refer to the same real-world entity (suppliers in our case). This involves resolving inconsistencies, handling missing data, and eliminating duplicates to create a single, accurate, and trustworthy supplier profile, often referred to as a “golden record” or 360-degree view. Our current systems leverage Lucene-based search and XGBoost ML models, and we are exploring the use of LLMs to further enhance these capabilities. The ideal candidate will improve and reimagine our existing legacy entity resolution systems, bringing experience with ML-based approaches to matching and deduplication at scale. As a Senior Data Scientist, you will drive, shape, and execute our long-term data and data science strategy, design resilient and scalable data architectures, and champion technical excellence across our data ecosystem. You will work closely with Product and the Engineering teams to ensure our data systems support business growth, advance our matching capabilities, and enable data-driven decision-making. To support Supplier.io growth, we are investing heavily in cloud-native technologies. This role will be instrumental in leveraging modern data services and ML capabilities, optimizing cost, and ensuring our data platform is secure, reliable, and scalable. What You Will Do Design, build, and iterate on ML-based entity resolution systems that match, link, and deduplicate supplier records across disparate data sources to produce trusted golden records. Build, train, and refine NLP and ML models (e.g., XGBoost, search ranking models) for supplier matching, classification, and data enrichment, with a focus on improving accuracy and recall. Evaluate and integrate emerging approaches, including LLMs, into our entity resolution and data intelligence workflows. Own the full ML model lifecycle: feature engineering, training, evaluation, monitoring, feedback loops, and iterative tuning in partnership with data engineering and product teams. Translate model results into business impact and clearly communicate tradeoffs, performance metrics, and recommendations to non-technical stakeholders. Build and maintain data