We are seeking a Data Scientist to join our Data Enrichment team focused on improving data quality, operational efficiency, and business decision-making within a large-scale commercial data repository. This role blends hands-on modeling, technical leadership, and cross-functional collaboration to drive measurable improvements in data assets and business processes. Reporting to the Manager of Data Analytics, you will play a key leadership role in designing, developing, and deploying machine learning and GenAI-driven solutions that enhance data quality, automation, and insight generation across commercial financial services data domains. Responsibilities: Design and deploy scalable machine learning solutions to improve data quality, matching, classification, and automation. Apply advanced analytics and generative AI to enhance data enrichment and ongoing data maintenance. Drive analytical projects from problem definition through deployment and ongoing monitoring, in partnership with cross‑functional teams. Establish and follow best practices for model governance, testing, documentation, and performance tracking. Build and maintain reliable data pipelines and feature workflows using distributed data technologies. Develop production‑ready SQL to integrate and transform structured and semi‑structured data. Create reusable tools and components to streamline data processing, scoring, and monitoring. Define and track key metrics to measure model effectiveness and operational improvement. Partner across Data Governance, Technology, Product, and Operations to address data quality and process opportunities. Communicate insights through clear storytelling, visuals, and executive‑ready presentations. Maintain strong standards for code quality, experimentation, and documentation, with a focus on collaboration and continuous improvement. Stay informed on advances in machine learning, generative AI, and cloud technologies.
Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or a related quantitative field (Master's degree preferred). 5+ years of professional experience in data science, machine learning, GenAI, or advanced analytics roles. Proven experience leading end-to-end machine learning initiatives from problem definition through deployment in production environments. Strong foundation in statistics, experimental design, and causal inference. Proven experience leading end-to-end machine learning initiatives from problem definition through deployment in production environments. Strong foundation in statistics, experimental design, and causal inference. Advanced proficiency in: Python (pandas, NumPy) Distributed processing frameworks (e.g., Spark / PySpark) SQL (advanced query design and optimization) Experience with ML frameworks such as scikit-learn, TensorFlow or PyTorch. Experience designing and implementing solutions leveraging large language models (LLMs), such as OpenAI and/or Google Gemini. Experience deploying, monitoring, and maintaining models in production environments. Familiarity with version control (Git, Bitbucket) and collaborative development workflows. Experience working in Agile/Scrum environments.
Benefits/Perks: Asociacion Solidarista Great compensation package and bonus plan Core benefits including medical, dental, vision, and matching 401K Flexible work environment, ability to work remote, hybrid or in-office Flexible time off including volunteer time off, vacation, sick and 12-paid holidays At Experian, our people and culture set us apart. We're deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others. Want to see what life at Experian is really like? Explore Experian Life on social or visit our Careers Site. Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. This is a remote position. #LI-Remote