Senior Data Scientist

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them.

Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself.

The Senior Data Scientist will design and execute complex data science and advanced analytics initiatives focused on customer intelligence, predictive modeling, and value science. This senior individual contributor will own data science work across the lifecycle, from framing business questions and defining target variables through model development, production deployment, experimentation, and measurement. The role will apply advanced statistical methodologies, machine learning, reinforcement learning, generative AI, and emerging analytical techniques while partnering with data engineers, AI/ML engineers, architects, and business stakeholders to deliver scalable solutions and actionable business insights.

What you will do:

• Design and implement advanced analytical and machine learning solutions for complex business problems, including customer behavior, conversion, churn, and value modeling.
• Define business questions, target variables, population definitions, and analytical approaches for complex data science initiatives.
• Select and adapt appropriate data science techniques, models, and architectures.
• Lead complex data-driven projects from analysis and model development through production deployment, experimentation, implementation, and measurement.
• Develop and implement end-to-end data pipelines and machine learning models.
• Support the expansion of modeling capabilities into next best action frameworks, including reinforcement learning and neural network approaches.
• Evaluate and integrate third-party and open-source tools and technologies.
• Research and apply emerging data science, AI, and machine learning techniques.
• Partner with data engineers, AI/ML engineers, architects, and business stakeholders to design and implement scalable analytical solutions.
• Work across interconnected teams and functions to translate customer intelligence models into broader business applications.
• Provide technical guidance to other data scientists.
• Communicate complex insights, scientific approaches, recommendations, and business value to senior stakeholders and cross-functional partners.
• Contribute to data, analytics, and AI security guidelines.

What you will bring:

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field, or equivalent experience.
• 5+ years of professional experience applying data science, advanced analytics, and machine learning techniques.
• Demonstrated experience creating data mining architectures and advanced analytical models.
• End-to-end data science lifecycle experience, including problem definition, model development, deployment, experimentation, and implementation.
• Direct experience delivering AI/ML solutions in production.
• Experience with generative AI, machine learning, and advanced analytics.
• Strong experience with Python, R, and SQL.
• Experience with cloud-based data and analytics platforms.
• Experience with data visualization tools such as QuickSight, Tableau, or Power BI.
• Strong communication skills and the ability to translate complex technical insights into business value.
• Intellectual curiosity, transparency, and the ability to work effectively through ambiguity and pursue answers when information is incomplete.

What will set you apart:

This job operates in a professional office environment.

This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this job description at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description. You may be required to perform other duties that are not include