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., Senior Research Scientist- Onsite, Lenexa, KS- Full-Time; Flow Cytometry ICON is a global healthcare intelligence and clinical research organisation united by a mission to bring …
• 14 days ago +

• 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., For remote and hybrid positions you will be required to provide reliable high-speed internet with a wired connection as well as a place in your home to work with limited disruption. You must have reliable connectivity from an internet service provider that is fiber, cable or DSL internet. Other necessary computer equipment, will be provided. You may be required to work in the office if you do not have an adequate home work environment and the required internet connection. Job Posting End Date at 12:01 am on: 08-31-2026 Want the latest money news and views shaping how we live, work and play? Stay in the know with and sign up for Empower’s free newsletter.

We offer an array of diverse and inclusive benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance.

• Medical, dental, vision and life insurance
• Retirement savings - 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
• Tuition reimbursement up to $5,250/year
• Business-casual environment that includes the option to wear jeans
• Generous paid time off upon hire - including a paid time off program plus ten paid company holidays and three floating holidays each calendar year
• Paid volunteer time - 16 hours per calendar year
• Leave of absence programs - including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)
• Business Resource Groups (BRGs) - BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.

Base Salary Range $0.00 - $0.00 The salary range above shows the typical minimum to maximum base salary range for this position in the location listed. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation offered may vary from posted hiring range based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer.