Analytic Scientist

As a team member in the Finance department at Nationwide, the opportunities are endless! You can grow and learn in diverse areas across many disciplines such as Advanced Analytics, Investments, Actuarial, Accounting, Risk Management, Critical Business Advisor, Internal Audit, and so much more. Let Nationwide help create your career journey! At Nationwide®, “on your side” goes beyond just words. Our customers are at the center of everything we do and we’re looking for associates who are passionate about delivering extraordinary care.

This position will be hired on a Success Flex basis.

The hired associate must reside within 35 miles of the following location(s):

Scottsdale: 18700 Hayden Road Scottsdale AZ, 85255

Columbus: 1 Nationwide Plaza, Columbus OH, 43215

Grandview: 1000 Yard Street Grandview OH, 43215

Work schedule:

2 days in office, 3 days remote.

This role does not qualify for employer sponsored work authorization. Nationwide does not participate in the STEM OPT extension program.

Do you have the desire to play a critical role in driving data-based business outcomes? At Nationwide, our Analytic Scientists are responsible for modeling complex problems, discovering insights and identifying business opportunities using scientific research methods, statistics, machine learning and data visualization techniques. They participate in all phases of the analytic lifecycle, from research design, data collection and data processing to model building, deployment and presentation of results.

We value a commitment to lifelong learning and strong quantitative judgment. If you are a methodological generalist who is adept at applying your technical skill set to a wide range of business applications, we want to know more about you!

As a Specialist, you’ll often work independently and seek guidance and support from their manager as needed. You’ll participate in all phases of the analytic lifecycle, from research design, data collection and data processing to model building, deployment and presentation of results. We’ll count on you to be fully proficient with common statistical and machine learning techniques and exhibit some knowledge of advanced modeling techniques and their application.

Key Responsibilities:

• Completes well-defined objectives associated with the design, development, implementation, and monitoring of statistical and machine learning models independently.
• Works with business partners to craft an analytic strategy that meets their needs and delivers timely results.
• Integrates relevant internal and external research findings to generate hypotheses and help business partners make informed decisions.
• Applies advanced quantitative techniques to analyze any given data structure.
• Builds predictive and explanatory models to generate actionable insights and practical solutions to business problems.
• Crafts deliverables that provide clear and concise summaries of findings and recommendations using impactful storylines and data visualization geared to both technical and non-technical audiences.
• Upholds a high standard for methodological rigor, sound statistical inference, and robust model validation.

May perform other duties as assigned.

Reporting Relationships:
Reports to Senior Consultant or Director. Leads interns as assigned.

Education: Preferred undergraduate or graduate studies in statistics, engineering, math, quantitative social science disciplines or related areas. Experience building and deploying machine learning and/or statistical models or executing quantitative research studies may be considered in lieu of formal education.

Experience: Typically, three or more years of related experience in a relevant field.

Knowledge, Abilities and

Skills:

• Quantitative judgment:
  Experience building and deploying machine learning and/or statistical models.
• Research methods:
  Knowledge of multiple quantitative research and analysis approaches and their tradeoffs.
• Programming ability:
  Python, R, SQL, or any other transferable language (MATLAB, Java, etc.).
• Communication skills:
  Reading/writing/speaking about predictive modeling to stakeholders ranging from…