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Senior Consultant, Telematics Data Science
Nationwide Insurance
| *This position will offer flexibility of work in office or work from home locations.*
Nationwide is seeking a passionate individual with experience working in machine learning, geospatial analysis, and mathematical optimization, to join the Enterprise Analytics Office (EAO) Predictive Analytics team as we embark on an exciting initiative to build our next-generation computing infrastructure to help us enhance our ability to predict driver behavior through the use of telematics.
The ideal candidate should have:
Additional desirable qualifications include:
The candidate must be willing to work with a diverse array of partners, including modelers, data engineers, data architects, business professionals, and executives. Because of this, the ability to communicate highly technical material in a friendly, consumable manner is essential. The candidate must demonstrate a desire to create business value over all else. Most importantly, the candidate must be willing to innovate, take risks, challenge conventional wisdom, and stay on the cutting edge of new tools and technologies. Strong communication skills are a major plus
***2nd Role*** Senior Consultant, Computational Telematics *This position will offer flexibility of work in office or work from home locations.*
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Education: Post graduate studies preferred.
Licenses/Designations: N/A
Experience: Typically 7 or more years related experience in marketing database management. Requires recognized internal/external experience as a consulting level resource. Expert level 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.
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Telecommuting is allowed.
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