As a team member in the Finance and Internal Audit 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 and so much more. Let Nationwide help create your career journey!
Internal Compensation Grade: E5
Required Experience: Typically 1 - 3 years of relevant industry experience
Location: Columbus, OH (Hybrid Remote Role)
Job ID: 75334 | #LI-JM3
Job Description Summary
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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. We value a dedication 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!
Our Senior Analysts work on individual projects with active guidance and support from their manager. 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 proficient in common statistical and machine learning techniques and actively seek to expand your technical expertise.
Job Description
Key Responsibilities:
Assists with the design, development, implementation, and monitoring of statistical and machine learning models.
Supports the project lead to craft an analytic strategy that meets the needs of business partners and delivers timely results.
Integrates relevant research findings to generate hypotheses and help business partners make informed decisions.
Applies quantitative techniques to analyze any given data structure.
Builds predictive and explanatory models to generate actionable insights and practical solutions to business problems.
Assists in creating, packaging, and communicating analytic work to maximize relevant insights, including crafting impactful story lines and data visualizations 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 responsibilities as assigned.
Reporting Relationships: Reports to Senior Consultant, Director. This is an individual contributor role.
Typical Skills and Experiences:
Education: Preferred: Undergraduate studies in statistics, engineering, math, quantitative social science fields, or related areas. Proven 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, one to three years of related experience in a relevant field.
Knowledge, Abilities and Skills: Quantitative judgment: Proven 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: Ability to communicate predictive modeling with business partners to modeling experts. Capable of developing compelling stories and distinctive data visualizations. Passion, inquisitiveness, creativity, self-starters, and team builders.
Other criteria, including leadership skills, competencies and experiences may take precedence.
Staffing exceptions to the above must be approved by the Vice President and HR Vice President.
Values: Regularly and consistently demonstrates the Nationwide Values.
Job Conditions:
Overtime Eligibility: Exempt (Not Eligible)
Working Conditions: Normal office environment
ADA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.