Analytic Scientist

Nationwide•Columbus, OH

1d•Hybrid

About The Position

As a team member in Finance at Nationwide, the opportunities are endless! 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 SuccessFlex 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. Job Description Summary 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.

Requirements

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.
Typically, three or more years of related experience in a relevant field.
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 transferrable language (MATLAB, Java, etc.).
Communication skills: Reading/writing/speaking about predictive modeling to stakeholders ranging from business partners to modeling experts. Capable of developing compelling stories and distinctive data visualizations.
Passion, inquisitiveness, creativity, self-starters and team builders.

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.

Benefits

medical/dental/vision
life insurance
short and long term disability coverage
paid time off with newly hired associates receiving a minimum of 18 days paid time off each full calendar year pro-rated quarterly based on hire date
nine paid holidays
8 hours of Lifetime paid time off
8 hours of Unity Day paid time off
401(k) with company match
company-paid pension plan
business casual attire