Senior Data Scientist

Empower; Orlando (FL); Remote; USD 103,000 - 147,000; Full time

Job summary

Empower is seeking a Senior Data Scientist in Orlando to drive innovative AI and ML solutions. This role involves designing advanced data pipelines and collaborating with teams to solve complex business problems. Candidates should possess a strong background in data analysis, machine learning, and relevant technologies, offering a competitive salary and inclusive benefits.

Benefits

Medical, dental, vision and life insurance

401(k) plan with generous company matching

Tuition reimbursement up to $5,250 / year

Generous paid time off

Paid volunteer time — 16 hours per year

Leave of absence programs including parental leave

Qualifications

• 6+ years of professional data science experience.
• Experience with data-driven decision-making.
• Direct experience designing and delivering AI/ML solutions.

Responsibilities

• Execute data science initiatives within the technology.
• Develop and implement advanced analytical models.
• Collaborate with teams for effective decision-making.

Skills

Data analysis

Machine Learning

AI

Data visualization

SQL

Python

R

Education

Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field

Tools

Quick Sight

Tableau

Power BI

Job description

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 play a key role in driving the analysis, development and implementation of AI and ML models, advanced analytical models, and algorithms to solve complex business problems. They will work closely with other teams, including data engineers, AI / ML engineers, and architects, to drive data analysis and AI / ML solutions.

What You Will Do

• Execute data science initiatives within the technology
• Experiment with emerging AI, ML, and data analysis techniques and technologies, with a rigorous focus on business value.
• Design and develop data pipelines and machine learning models, including all pre-processing and output validation
• Respond to evolving and changing security conditions. Implement and contribute to security guidelines
• Assess a variety of third-party and open-source models and technologies
• Develop and implement advanced analytical models and algorithms to drive decision making and answer critical business questions
• Execute data-driven projects and provide insights and recommendations to key stakeholders
• Collaborate with other teams, including data engineers, software engineers, and business analysts, to ensure that data is being used effectively to drive decision-making

What You Will Bring

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field of study. (or equivalent experience)6+ years of professional data science experience
• Experience with emerging technologies, such as Generative AI, Machine Learning and Advanced Analytics
• Experience with modern cloud solutions
• Experience with agile, iterative development methodologies
• Experience with data-driven decision-making and experimentation culture
• Direct experience designing, building, and delivering AI / ML solutions
• Strong experience with data analysis and machine learning tools such as Python, R, and SQL
• Solid understanding of data storage and retrieval technologies such as RDS, DynamoDB, and ElastiCache
• Experience with data visualization tools such as Quick Sight, Tableau or Power BI
• Self-motivated individual that thrives in a team environment
• Adaptable with a growth mindset
• Direct experience applying data science, AI, ML techniques to solve real customer or business problems.
• Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT / OPT.

What we offer you

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

103,600.00 - $146,350.00

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.

Equal opportunity employer

• Drug-free workplace

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 (40 and over), 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.

• 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 :

06-28-2025

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Workplace Flexibility : Remote - Nationwide

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Senior Data Scientist • ORLANDO, FL, United States

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