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 Responsibilities- Lead end-to-end ML initiatives, from problem formulation and R&D through production deployment and monitoring
- Design, train, and deploy ML models, including NLP models and LLM-based solutions, used in core data products
- Develop and own model evaluation metrics, validation processes, and data quality measurement frameworks
- Analyze large consumer datasets in cloud environments to identify opportunities for new ML-driven products or quality improvements
- Replace or augment manual data processes with ML-based systems while maintaining strict quality standards
- Optimize production ML workflows for performance, cost, and scalability
- Mentor junior data scientists on model development, evaluation, and production best practices
- Act as a domain expert, explaining ML methodologies, tradeoffs, and results to product, engineering, leadership, and client-facing teams
Your Qualifications- 5+ years of industry experience leading production ML projects end-to-end, including model deployment and maintenance in real-world systems
- Advanced degree (Master's or PhD) in Statistics, Mathematics, Computer Science, Economics, or a closely related quantitative field
- Demonstrated expertise in machine learning and statistical modeling, including translating business problems into well-defined ML solutions
- Hands-on experience with NLP use cases such as classification, entity extraction, and entity resolution
- Experience 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 SQL
- Experience 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 Qualifications- Experience working with financial or transaction-level data
- Experience with large-scale consumer or demographic datasets
Salary Range: $155,000 - $170,000
Office 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.
