Senior Data Scientist

Empower • Overland Park, KS

4d • Hybrid

About The Position

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.

Requirements

• 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.

Responsibilities

• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior