IT Advisor - Tech Cons - AI and Data - Data Science - Manager - Multiple Positions - 1582040

Full-time - Mid Level

San Francisco, CA

About the position

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. Work with a wide variety of clients to deliver the latest data science technologies and operations research techniques and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyse data from multiple sources. Assist clients to make data-driven decisions by working with structured and unstructured data sets, building out predictive models, and advising our clients on data mining leading practices. Manage and contribute to development of proof of concepts and/or pilots for clients while working in cross-functional teams. Leverage in-house data platforms as needed and recommending and building new data platforms/solutions as required to exceed business requirements. Manage daily operations of a global data and analytics team(s) on client engagements, review developed models, provide feedback, and assist in model development and data analysis. Manage other data scientists and data engineers to develop and deliver the most appropriate algorithms to meet client requirements. Build and apply data analysis algorithms and design, architect, and develop solutions leveraging big data technology to ingest, process, and analyse large, disparate data sets to meet or exceed business requirements. Communicate findings, recommendations, and opportunities to facilitate client presentations and/or improve data systems and solutions. 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.

Responsibilities

• Deliver data science technologies and operations research techniques to clients.
• Design, build and maintain scalable and robust data solutions.
• Assist clients in making data-driven decisions using structured and unstructured data.
• Build predictive models and advise on data mining best practices.
• Manage development of proof of concepts and pilots for clients.
• Leverage in-house data platforms and recommend new solutions.
• Manage daily operations of global data and analytics teams.
• Review developed models and provide feedback.
• Manage teams of data scientists and data engineers.
• Build and apply data analysis algorithms.
• Communicate findings and recommendations to clients.
• Maintain long-term client relationships and networks.
• Cultivate business development opportunities.

Requirements

• Bachelor's degree in Mathematics, Information Systems, Statistics, Operations Research, Analytics, Computer Science, Data Science, Machine Learning, or a related field and 5 years of progressive, post-baccalaureate related work experience; or a Master's degree in the same fields and 4 years of related work experience.
• 4 years in professional services and/or consulting experience.
• 4 years of hands-on experience in data science applications in business.
• 2 years of experience in big data and data engineering concepts.
• 4 years of experience in at least two of the following: R, Python, SQL, SAS or similar; ETL and data engineering skills; data sources and structures; big data technologies.
• 2 years of experience managing teams of Data and Analytics professionals.

Benefits

• Comprehensive compensation and benefits package.
• Base salary of $173,995 per year.
• Medical and dental coverage.
• Pension and 401(k) plans.
• Flexible vacation policy.
• Paid time off for designated holidays, breaks, and personal care.