Senior Data Scientist-1

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 Sr Data Scientist serves as a senior individual contributor designing and executing complex data science and advanced analytics initiatives. This role applies data mining architectures, advanced statistical methodologies, and machine learning techniques to solve complex, multi-domain business problems and deliver actionable insights.  The Sr Data Scientist researches and applies emerging data science, AI, and ML techniques and partners closely with data engineers, AI/ML engineers, architects, and business stakeholders to design and implement scalable analytical solutions with measurable business impact. 

ESSENTIAL FUNCTIONS: 

• Design and implement advanced analytical and machine learning solutions for complex business problems. 

• Select and adapt appropriate data science techniques, models, and architectures. 

• Lead execution of complex data-driven projects from analysis through deployment. 

• Develop and implement end-to-end data pipelines and machine learning models. 

• Evaluate and integrate third-party and open-source tools and technologies. 

• Provide technical guidance to other data scientists. 

• Communicate complex insights and recommendations to senior stakeholders. 

• Contribute to data, analytics, and AI security guidelines. 

QUALIFICATIONS:

• 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. 

• 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 ability to translate insights into business value. 

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 perform other duties that are not included on this job description.  The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason.

We are an equal opportunity employer with a commitment to diversity.  All individuals, regardless of personal characteristics, are encouraged to apply.  All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.