Nationwide Consultant, Data Science in Columbus, Ohio

Job ID: 51355


Qualified candidates will have the following skills:

  • Ability to write clean and concise code, especially in R or Python

  • Solid understanding of statistics

  • Keen eye for detail and thoughtful inquiry of data before using it

  • Intuition for data science best practices based off of experience

  • Ability to work with dashboarding software such as Tableau or Google Analytics

  • In-depth knowledge of computer coding/programming languages and software development concepts in a large IT environment

  • Proven professional experience with could capabilities (e.g.: AWS, Azure, or Google Cloud Services)

  • Understanding of version control systems, particularly GIT

  • In-depth knowledge of data structures, data management practices, system interaction patterns and interfaces

JOB SUMMARY: Responsible for leading small to medium sized business analytics projects. Consults with business partners to define, structure, and execute analytic projects. Analyzes trends and patterns in structured and unstructured data and synthesizes and communicates meaningful insights to partners. May lead small teams and multiple concurrent projects. Committed to learning, development, skill maintenance, and personal improvement.

RELATIONSHIP: Reports to Manager/Director/AVP. May have direct reports based on organizational structure. May be responsible for virtual/project teams.


  • Responsible for creating, packaging, and communicating analytic work (synthesis) using appropriate medium for relevant insights, including impactful story line and applicable data visualizations.

  • Responsible for effectively synthesizing own project work and the work of team members. Work may span more than one project or focus area.

  • Participates in the delivery of analytic work that supports business objectives and priorities.

  • Plans and manages execution of own work, participates in planning, and delivers on commitments

  • Consults with business partners to understand, align, and deliver analytic work to support business objectives and priorities.

  • Consults with business partners to understand, align, and deliver analytic work to support business objectives and priorities.

  • Applies appropriate quantitative techniques and methods to solve business problems. Directs the application of appropriate quantitative techniques to facilitate repeatable research.

  • Responsible for building analytic applications using statistical, database, and/or general programming languages and tools.

  • Performs other duties as assigned.


Education: Post graduate studies preferred.

Licenses/Designations: N/A

Experience: Typically 5 or more years experience in data warehousing, statistical analysis and marketing/customer data models and queries. Detailed experience with problem solving in a business environment; working with large customer and/or prospect databases; working with product, geographic, demographic data to identify trends and opportunities.

Knowledge: Experience with financial services or related industry. Consulting experience, knowledgeable and experienced with the core functions of an organization (call center, billing, finance, sales, marketing, product, pricing, etc), experience with process design and mapping and continuous improvement.

Skills/Competencies: Possesses core statistics skills including an understanding of probability and its application to the analysis of data. Able to evaluate sources of variation and identify influential factors/features. Experienced with statistical process control, process monitoring and diagnostics. Modeling and Machine Learning: Experienced with advanced mathematical modeling techniques including both supervised and unsupervised learning algorithms. Proven experience building practical solutions using predictive modeling. Demonstrated knowledge of and experience with design of experiments. Ability to understand business systems (processes) and the data produced by them – (how did the data get produced and is it a valid representation of the outcome being studied). Demonstrated experience structuring and solving complex business problems. Ability to translate analytic findings into actionable communications. Ability to communicate effectively in a variety of mediums with any audience. Capable of developing compelling stories and distinctive data visualizations Working knowledge of statistical software including R, SAS, SPSS, MatLab, etc. as well as Teradata, Oracle, DB2, SQL Server, Netezza, etc. Understands data structures operational vs analytical data structures, normalization, etc. and SQL Assistant, WinSQL, and Toad, etc. Knowledge of general purpose programming languages (Python, Java, C++, etc)including domain specific languages, static and dynamic languages, application design and development, test driven development, and agile practices.

Values: Regularly and consistently demonstrates the Nationwide Values and Guiding Behaviors.

Staffing Exceptions to the above minimum job requirements must be approved by the: VP and HR VP.


Overtime Eligibility: Not Eligible (Exempt)

Working Conditions: Normal office environment. Extended and non-standard work hours based on project and customer deliverables.

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.

Job Evaluation Activity: 11/2012 CB, PYC

Job Function/Family: MKT/DSC