Senior Data Scientist

Affinity Solutions (Affinity) is the leading consumer purchase insights company. We provide a complete view of U.S. and U.K. consumer spending, across and between brands, via exclusive access to fully permissioned data from over 100 million consumers. Our proprietary AI technology, Comet™, transforms these purchase signals into actionable insights for business and marketing leaders to drive optimal outcomes and build lasting customer relationships. Visit www.affinitysolutions.com to discover how we’re shaping the future of consumer purchase insights. About the RoleAffinity Solutions is hiring a Principal Machine Learning Scientist to lead applied ML initiatives within our Data Foundation team. This role focuses on building, evaluating, and productionizing machine learning models that transform large, semi-structured partner data into high-quality, scalable data products used across our ad-tech and mar-tech platform. Your ResponsibilitiesLead end-to-end ML initiatives, from problem formulation and R&D through production deployment and monitoringDesign, train, and deploy ML models, including NLP models and LLM-based solutions, used in core data productsDevelop and own model evaluation metrics, validation processes, and data quality measurement frameworksAnalyze large consumer datasets in cloud environments to identify opportunities for new ML-driven products or quality improvementsReplace or augment manual data processes with ML-based systems while maintaining strict quality standardsOptimize production ML workflows for performance, cost, and scalabilityMentor junior data scientists on model development, evaluation, and production best practicesAct as a domain expert, explaining ML methodologies, tradeoffs, and results to product, engineering, leadership, and client-facing teams Your Qualifications5+ years of industry experience leading production ML projects end-to-end, including model deployment and maintenance in real-world systemsAdvanced degree (Master’s or PhD) in Statistics, Mathematics, Computer Science, Economics, or a closely related quantitative fieldDemonstrated expertise in machine learning and statistical modeling, including translating business problems into well-defined ML solutionsHands-on experience with NLP use cases such as classification, entity extraction, and entity resolutionExperience working with modern NLP and language models (e.g., BERT-based architectures, LLMs, and classical NLP approaches)Strong software engineering skills, including writing production-quality Python and SQLExperience building or contributing to ML infrastructure supporting the full model lifecycle (training, evaluation, deployment, monitoring)Experience working with cloud data platforms, including data warehouses (e.g., Snowflake, Amazon Redshift) and data lakes (e.g., Amazon S3)Ability to clearly explain ML methodologies and results to non-technical stakeholders, including clients and senior management Preferred QualificationsExperience working with financial or transaction-level dataExperience with large-scale consumer or demographic datasets Salary Range: $155,000 – $170,000Office Hours: 9am – 5:30pm Benefits for full-time employees of Affinity Solutions begin on the first of the month following your date of hire with a generous employer contribution for medical, dental, and vision. In addition to company paid holidays, wellness time off, other wellness benefits, and employee discounts, you will also get employer paid life insurance and have the option to enroll into an employer-matched 401K Plan. We strongly encourage work/life balance by providing unlimited vacation days, available starting 90 days from your hire date as a team member.