EY Global Innovation - Senior Data Scientist in Atlanta, Georgia

Title: Global Innovation - Senior Data Scientist

Location: US-GA-Atlanta

Job Number: ATL003IA

Job Summary:

The Global Innovation Team is a small, startup-like product and business incubator founded in 2015 to bring technology to the core of everything we do at EY. This includes enabling existing businesses with technology as well as building entirely new web and mobile products and technology platforms with an enterprise focus. Our access to the world’s leading companies is unprecedented and so are the opportunities stemming from these relationships. Be a part of something huge!

Reporting to the Chief Data Scientist, this position is focused on the creation of analytics-based IP which may be sold and delivered to clients for their consumption of the analytics; or may be delivered to EY professionals for their consumption in performing their work. It is expected that this IP will be embodied in technology solutions which may be developed internally or made available through acquisition of, or in partnership with, third parties.


Essential Functions of the Job:

  • Negotiate requirements of solutions provided by business SMEs and client teams with a view towards expanding the generality, across service lines and sectors, extensibility, scalability and maintainability of the envisioned solution.

  • Assess requirements of stipulated business needs for analytic solutions against state of the art analytic methods and technologies and make recommendations with respect to the appropriate methodologies, tools and technologies to enable the solution.

  • Acquire and/or synthesize datasets to support development of analytic solution features.

  • Develop prototypes of key data manipulations or mathematical modeling elements that are to be embodied in analytic solutions, using software tools appropriate for the modeling problem.

  • Effectively communicate solution design elements to developers, supervise and QA their work.

  • Collaborate with business SMEs in the development of training and reference materials to ensure that solutions are utilized in the most effective and highest quality manner.

  • Build awareness of the Data Sciences competency, and personal relationships, with account teams and Sector/Service Line leadership to facilitate effective participation in key pursuits.

  • Participate with account teams, on designated key account pursuits, to supply expert guidance on both the availability and applicability of existing solutions; and to discover client needs which can be addressed with advanced analytic solutions not currently developed

  • Mentor junior data scientists and advise client-facing analytic professionals engaged in pursuits and delivery.

  • Represent EY’s Data Sciences competency to various internal and external audiences.

Knowledge and Skill Requirement:

  • Practical experience deploying advanced statistical and machine learning techniques for classification, prediction, recommendation, clustering and optimization in a commercial context.

  • Experience with scalable big data based advanced analytics software, such as Apache Mahout or 0xdata H2O and with modern advanced analytics software such as R or Python.

  • Detailed knowledge of how data and analytics solutions are implemented in existing programming languages and design patterns.

  • Ability to communicate technical matters clearly and effectively to both technical and non-technical audiences, win supporters and spur people to action.

  • Facility in the management and manipulation of large datasets, both structured and unstructured.

  • Ability to lead technical teams comprising scientists, developers and business analysts.

Nice to haves:

  • Experience in the lifecycle of enterprise-class software development.

  • Training in accounting.

  • Recognized expertise in an analytics discipline as evidenced by publications or awards.

Other Requirements:

  • Willing and able to travel 30-40%, including international travel.

  • Graduate degree in Operations Research, Industrial Engineering, Computer Science, or related discipline.

  • PhD preferred.

  • Minimum of 4 years in the market with PhD or 7 years with MS degree, designing and delivering services or solutions for which data modeling and analytics are a significant component.

Nice to have:

  • CAP - Certified Analytics Professional

Ernst & Young LLP, an equal employment opportunity employer (Females/Minorities/Protected Veterans/Disabled), values the diversity of our workforce and the knowledge of our people.