Data Scientist - Innovation Lab

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 Data Scientist will play a role in driving the analysis, development and implementation of AI and ML models, analytical models, and algorithms to solve 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:

• Provide insights to business stakeholders in Marketing, Sales, Product, and Service, enabling them to make informed decisions.
• Perform exploratory and detailed analysis of large data sets and present the analysis to stakeholders.
• Maintain and create complex classifiers, predictive models and utilize other machine learning techniques, in collaboration with Data Engineers, Java Engineers, Business Analysts and business stakeholders to provide analysis and make recommendations.
• Leverage large data sets and assist with the creation of pipelines to support our data modeling and business insights.
• Innovative, think outside of the box, understand financial services business and advocate visionary and new ideas.
• Self-motivated, work well independently, possess solid critical thinking skills, the ability to synthesize complex problems and develop programs to apply data science concepts to improve business efficiencies.  
• Excellent written and speaking communication skills are required to work successfully in a collaborative cross-functional environment and interact with the full spectrum of business divisions.

What you will bring:

• 2-6 years of professional experience as a Data Scientist.
• Bachelor of Science degree in Computer Science, Operations Research, or another quantitative discipline.
• Prefer a candidate with Masters degree.
• Experience with statistical analysis and analytic presentation tools.
• Experience with A/B testing is added plus.
• Familiarity with machine learning techniques and classifier algorithms.
• Strong experience with data management systems, particularly with SQL queries.
• Knowledge of NoSQL platforms an added plus.
• Experience extracting and working with large sets of data stored in a variety of storage platforms such as traditional Data Warehouse, Data Lake, and NoSQL.
• Experience working defining data pipelines to facilitate machine learning and analytics.
• Familiarity with distributed computing and Big Data technologies, including map/reduce ecosystem (Hadoop, Spark, HDFS, Hive)
• Familiarity with capturing and processing real-time streaming data.
• Strong programming experience in at least one programming language, preferably Python.
• Experience with software engineering infrastructure like Git or other source repositories and unit testing is required.
• Experience should be in a production environment.
• Familiarity with conventional machine learning and deep learning libraries, in particular scikit-learn and keras.

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.

***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 inv