Consultant, Nationwide Technology Data Science

Key Skills

Java Programming, Python Programming, SQL, Azure, Scala Programming, MATLAB Programming, Google Cloud Platform (GCP), R Programming

Job Description

If you’re passionate about innovation and love working in an environment where you can constantly improve and adopt new technologies to drive business results, then Nationwide’s Information Technology team could be the place for you!

Are you a problem solver who loves working with data? Are you looking for an opportunity to make an impact in Data Analytics and Data Science at an enterprise level? Is a challenging position leveraging modern technologies to enable our business partners with intelligent capabilities what you are looking for? Then we have exactly what you are looking for. The Consultant, Analytical Scientist (or Engineer) is responsible for researching, designing, creating, and executing modern data solutions.

What we are looking for in this role:

• Utilize an understanding of ML modeling techniques to develop ML infrastructure solutions.
• Expected to build scalable production machine learning applications and pipelines.
• Develop and deploy ML data pipelines for use in production models.
• Able to work with structured and unstructured data.
• Implement model performance tracking capabilities to provide recommendations for model improvement.
• Leverage continuous integration, continuous development best practices for successful deployment of ML models and applications.

Skills

• Experience programming with Python, Scala, or Java
• Experience building, scaling, and optimizing ML systems
• Solid understanding of Statistical concepts
• Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform

Compensation Grade: G5

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. 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!

As a Consultant, you’ll need to have a strong grasp of business objectives and work consultatively with business partners to develop solutions. You may work on multiple concurrent projects and often lead small teams of modelers. 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 advanced statistical and machine learning techniques and exhibit a deep knowledge of technical domains or modeling approaches.

Job Description

Key Responsibilities:

• Serves as the lead modeler on larger projects or works on concurrent projects that involve the design, development, implementation and monitoring of statistical and machine learning models.
• Consults with business partners to understand, define and deliver work that meets their needs and delivers timely results.
• Integrates relevant research findings to generate hypotheses and help business partners make informed decisions.
• Applies knowledge of 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 results 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.
• Identifies creative solutions to complex business problems of broad scope and business impact.

May perform other responsibilities as assigned.

• Reporting Relationships: Reports to Senior Consultant, Director. This is an individual contributor role and may manage interns/GRAs as assigned.
• Typical Skills and Experiences:
• Education: Preferred: Graduate 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, five or more years of related work experience in a relevant field.
• Knowledge, Abilities and Skills:
• 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: 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.

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