Cons-Tech Cons-AI and Data-AAA-Adv Analytics-Data Scientist-Manager - Multiple Positions - 1736509

EY • Chicago, IL

3d • Hybrid

About The Position

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
Consulting – Technology Consulting - AI & Data – AAA – Advanced Analytics – Data Scientist (Manager) (Multiple Positions) (1736509), Ernst & Young U.S. LLP, Chicago, IL.
Bring order and structure to structured and unstructured data and prepare analysed data in visual formats in a manner that is accessible to clients and other stakeholders to solve multiple and complex business problems utilizing cloud-scale advanced statistical techniques and Business Intelligence analyses. Lead big-data problem solving to collect, analyze, and present findings and solutions, leading junior team members, and working with a wide variety of clients to deliver technology consulting services. Serve as the go-to resource for understanding clients’ problems through data gathering and analysis. Solve complex analytical problems in an effort to bring data to insights and enable the use of Machine Learning and Artificial Intelligence at scale for clients. Lead delivery of unparalleled service in big data, business intelligence, and digital analytics built on a blend of custom-developed methods related to customer analytics, data visualization, and optimization. Drive efforts to design, architect, and develop solutions to ingest, process and analyze large, disparate data sets to exceed business requirements, leveraging in-house data platforms as needed and recommending and building new data platforms/solutions. Participate in business development and knowledge growth opportunities to strengthen aptitude to propose solutions that will better enable clients to navigate the complex world of modern data analytics.
Manage and motivate teams with diverse skills and backgrounds. Consistently deliver quality client services by monitoring progress. Demonstrate in-depth technical capabilities and professional knowledge. Maintain long-term client relationships and networks. Cultivate business development opportunities.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Information Technology, Engineering, Mathematics, Statistics, Machine Learning, Management Information Systems (MIS), or a related field and 5 years of progressive, post-baccalaureate work experience.
• Master’s degree in Computer Science, Data Science, Information Technology, Engineering, Mathematics, Statistics, Machine Learning, Management Information Systems (MIS), or a related field and 4 years of work experience.
• 4 years of experience in quantitative modeling and analysis focusing on big-data problem solving to collect, analyze, and present findings and solutions.
• 4 years of hands-on experience in python or SQL.
• 3 years of experience with data manipulation tools and libraries SQL, Pandas, or Spark.
• 3 years of experience in one or a combination of any of the following cloud platforms: Azure, Amazon, Google.
• 4 years of experience in navigating database models to build data sets for analytics and model training and development.
• 2 years of experience modelling and visualizing data in Power BI or similar platforms.
• 1 years of experience in the delivery of intelligent automation services and the technology life cycle, including operating model/strategy, opportunity assessment, discovery and requirements definition, solution architecture and design, development, testing and production release.
• 1 years of experience in quantitative analysis using Agile methodologies or robotics tool-specific methodologies.
• 1 years of experience in containerization and scaling models as well as integrating models and feedback from downstream consumption systems.
• 1 years of experience in managing technical teams, including allocation of work products, tasks, and resources; review of technical outputs of the team; and provision of guidance and technical support to achieve the objectives.

Responsibilities

• Bring order and structure to structured and unstructured data and prepare analysed data in visual formats in a manner that is accessible to clients and other stakeholders to solve multiple and complex business problems utilizing cloud-scale advanced statistical techniques and Business Intelligence analyses.
• Lead big-data problem solving to collect, analyze, and present findings and solutions, leading junior team members, and working with a wide variety of clients to deliver technology consulting services.
• Serve as the go-to resource for understanding clients’ problems through data gathering and analysis.
• Solve complex analytical problems in an effort to bring data to insights and enable the use of Machine Learning and Artificial Intelligence at scale for clients.
• Lead delivery of unparalleled service in big data, business intelligence, and digital analytics built on a blend of custom-developed methods related to customer analytics, data visualization, and optimization.
• Drive efforts to design, architect, and develop solutions to ingest, process and analyze large, disparate data sets to exceed business requirements, leveraging in-house data platforms as needed and recommending and building new data platforms/solutions.
• Participate in business development and knowledge growth opportunities to strengthen aptitude to propose solutions that will better enable clients to navigate the complex world of modern data analytics.
• Manage and motivate teams with diverse skills and backgrounds.
• Consistently deliver quality client services by monitoring progress.
• Demonstrate in-depth technical capabilities and professional knowledge.
• Maintain long-term client relationships and networks.
• Cultivate business development opportunities.

Benefits

• medical and dental coverage
• pension and 401(k) plans
• a wide range of paid time off options
• flexible vacation policy
• time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence

What This Job Offers

• Job Type: Full-time
• Career Level: Manager