*Please note, this position may be filled at a lower level depending on qualified candidate skills, and experience.

*This position will offer flexibility of work in office or work from home locations, depending on candidate skills, experience and willingness to travel.

Computational/HPC Data Scientist

Do you consider yourself a "wizard" with high-performance computing? Nationwide is seeking a passionate rock-star individual with experience working in large-scale, petascale/exascale computing environments to join the Enterprise Analytics Office (EAO) Predictive Analytics team as we embark on an exciting initiative to build our next-generation computing applications to help us enhance our ability to predict driver behavior through the use of telematics.

The ideal candidate should have:

• BS or above in Computer Science, Computer/Software Engineering, Mathematics, or a related field
• Experience with batch, micro-batch, streaming, and distributed processing platforms
• Experience with distributed processing frameworks
• Experience with distributed storage and database platforms
• Experience with one or more programming languages in the context of data integration, data management, or analytics
• Experience with automated testing tools and frameworks
• Experience working in collaborative, team-based, multidisciplinary environments

Additional desirable qualifications include:

• Experience working in the areas of telematics or related fields
• Experience working within Amazon Web Services (AWS) cloud computing environments
• Experience with terabytes, petabytes, or even exabytes of data
• Experience with platforms such as Flink, Hadoop, Kafka, Spark, Hudi, or Storm
• Familiarity with geospatial datasets and services, mobile device location and GPS tracks
• Experience working within Agile and/or DevOps development environments
• Experience with Git-based version control system such as GitHub or Bitbucket
• Experience with developing and implementing APIs (particularly REST and streaming APIs)
• Experience with GPU-accelerated frameworks or libraries
• Experience with containerization tools such as Docker and Kubernetes
• Familiarity with or the desire to learn about predictive modeling techniques and associated tools

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.

Compensation Grade: H band

Job Description Summary

SUMMARY: Responsible for leading small to large business analytics projects. This position structures and leads large complex analyses across one or more business units and effectively synthesizes analytic results to improve business outcomes, support decision-making, and enable process improvements. Comfortable communicating with executive level audiences. May lead small to medium-sized teams. Responsible for growing and evolving the data science profession to maximize effectiveness. Committed to learning, development, skill maintenance, and personal improvement.

Job Description

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

JOB RESPONSIBILITIES:

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

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

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

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

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

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

7. Plans and manages the execution of analytic work including defining project scope, schedule, resource requirements, and delivery timelines.

8. Manages partner expectations

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

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

11. Performs other duties as assigned.

JOB REQUIREMENTS:

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.

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.

JOB CONDITIONS:

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

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