What are the responsibilities and job description for the Senior Cybersecurity Data Scientist position at Empower Retirement?

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.

As a Senior Data Scientist, you'll work to develop solutions and tools for fraud detection, including building and supporting custom machine learning detection services and models. You will be involved in all aspects of the development and support lifecycle, including data acquisition, feature engineering, model training and model tuning. The Senior Data Scientist will work in an exciting and engaging environment to implement useful and accurate detection solutionsand help protect the enterprise and its customers.

What you will do :

Develop and support existing fraud detection models and alerts. Expand existing models by implementing new scope and adding or reengineering data features to improve the effectiveness of these solutions
Develop and support new fraud detection solutions for new and emerging threats. Models developed will provide additional controls and alerting to high-risk customer processes
Work on all aspects of the development and support lifecycle. Identify appropriate data sources for model input. Engineer useful data features for input into the detection models
Build, train and support both supervised and unsupervised machine learning algorithms. Guide and manage the solution implementation from development through production
Work closely with key business partners to identify and prioritize a road map and deliverables, including model enhancements, new solutions, and new models
Analyze model results for effectiveness and communicate these results to the business community, along with suggestions to improve the solution's effectiveness

What you will bring :

Minimum of 5 years of relevant work experience in data science, fraud detection or related consulting

Hands-on work experience building custom machine learning models, and analyzing unstructured data

Expert technical competency analyzing large datasets using software such as Python, SAS, SQL and Splunk. Experience using the results of this analysis to build proactive detection solutions as well as support forensic investigations

Programming experience in the multiple phases of a complex modeling initiative - data preprocessing, feature engineering, algorithm selection, model training & evaluation, and on-going support of models in production

What will set you apart :

Experience building solutions using Amazon Web Services tools and infrastructure

Polished written and oral communication skills, with ability to present and clearly explain data to non-technical executive audiences

Strong project management skills / experience managing projects, budgets, and schedules to successful completion

Advanced degree in Mathematics, Statistics, Engineering, Computer Science, or other quantitative / statistical discipline

Prior exposure to the financial services industry is preferred

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) - internal networks that rally around common interest, experiences and identities such as race, ethnicity, gender, ability, military status and sexual orientation. BRGs play a vital role in educating and engaging our people and advancing our business priorities.

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 :

03-01-2025

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Salary : $103,600 - $146,350

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