Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
Provide data analytics services to help clients solve business problems, drive value, and gain strategy and insight from information. Apply a data-driven approach (KPIs) in tying technology solutions to specific business outcomes. Meet client goals by deliver the latest in data technologies and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources. Analyze business needs and clarify problems, seeking opportunities for improving methods and outcomes. Communicate findings, recommendations, and opportunities to improve data systems and solutions. Apply a deep understanding of database technology, concepts, tools, features, functions and benefits of different approaches to design, architect, and develop solutions leveraging relational and NoSQL database technologies to ingest, process and analyze large, disparate data sets. Unify, enrich and analyze customer data to derive insights and opportunities. Seek information to learn about emerging methodologies and technologies. Collaborate, influence and build consensus. 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.
Full time employment, Monday – Friday, 40 hours per week, 8:30 am – 5:30 pm.
MINIMUM REQUIREMENTS:
A bachelor's degree in Mathematics, Information Systems, Statistics, Computer Science, Engineering, or related discipline and 5 years of progressive, post-baccalaureate related work experience; OR a master's degree in Mathematics, Information Systems, Statistics, Computer Science, Engineering, or related discipline and 4 years of related work experience.
Ernst & Young Global Limited, commonly known as Ernst & Young or simply EY, is a multinational professional services network with headquarters in London, England. EY is one of the largest professional services networks in the world.
Dusseldorf, Germany
2-4 year
Hamburg, Germany
2-4 year
Munich, Germany
2-4 year
Berlin, Germany
2-4 year
Frankfurt, Germany
2-4 year
Stuttgart, Germany
2-4 year
Lisboa, Portugal
0-2 year
Lisboa, Portugal
0-2 year
Akron, OH, USA
2-4 year
Boston, MA, USA
2-4 year
Boston, MA, USA
2-4 year
Chicago, IL, USA
2-4 year
Charlotte, NC, USA
2-4 year
Cleveland, OH, USA
2-4 year
Dallas, TX, USA
2-4 year
Hoboken, NJ, USA
2-4 year
Hoboken, NJ, USA
2-4 year
Los Angeles, CA, USA
2-4 year
McLean, VA, USA
2-4 year
Phoenix, AZ, USA
2-4 year
Akron, OH, USA
2-4 year
Charlotte, NC, USA
2-4 year
Akron, OH, USA
2-4 year
Akron, OH, USA
2-4 year
Charlotte, NC, USA
2-4 year
Cleveland, OH, USA
2-4 year
Dallas, TX, USA
2-4 year
Akron, OH, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
4-6 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
4-6 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
San Francisco, CA, USA
2-4 year
Sydney NSW, Australia
0-2 year
Paris, France
0-2 year
Lisboa, Portugal
2-4 year
Lisboa, Portugal
4-6 year
Trivandrum, Kerala, India
0-2 year
McLean, VA, USA
4-6 year
Paris-La Défense, France
4-6 year
McLean, VA, USA
4-6 year
Eschborn, Germany
0-2 year
Frankfurt, Germany
0-2 year
Berlin, Germany
4-6 year
Houston, TX, USA
4-6 year
Dusseldorf, Germany; Berlin, Germany; Hamburg, Germany; Munich, Germany
0-2 year
Basel, Switzerland; Geneva, Switzerland; Zurich, Switzerland
0-2 year
Vienna, Austria
0-2 year