Note: The job is a remote job and is open to candidates in USA. Empower is a financial services company focused on helping customers achieve financial freedom. The Senior Data Scientist will lead complex customer intelligence, predictive modeling, and value science initiatives across the full data science lifecycle, partnering with technical and business stakeholders to deliver scalable analytical solutions and actionable insights.
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
Skills
- 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
- This job operates in a professional office environment
- 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
Benefits
- Flexible work environment
- 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.
- Remote - Nationwide
- Non-sales positions have the opportunity to participate in a bonus program
- Other necessary computer equipment will be provided
Company Overview
Company H1B Sponsorship