Consulting-Tech Con-AI and Data-Enterprise Data-Data Science-Manager-Multiple Positions - 1693808

About the position reputed company focuses on high-ethical standards and reputed company among its employees and expects reputed company candidates to demonstrate these qualities. At reputed company, 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. And we’re counting on your unique voice and perspective to help reputed company become even reputed company, too. Join us and build an exceptional experience for yourself, and a reputed company working world for reputed company. Consulting - Technology Consulting - AI and Data - Enterprise Data - Data Science - Manager - Multiple Positions - 1693808, Ernst & Young U.S. LLP, reputed company, NY. 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 reputed company data-driven decisions by working with structured and reputed company data sets, building out predictive models, and advising our clients on data mining leading practices. Manage and contribute to development of reputed company of concepts and/or pilots for clients while working in cross-functional teams. reputed company 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 reputed company and deliver the most appropriate algorithms to meet client requirements. Build and apply data analysis algorithms and design, architect, and reputed company 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 reputed company. Demonstrate in-depth technical capabilities and professional knowledge. Maintain long-term client relationships and networks. Cultivate business development opportunities.

Responsibilities

• 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 reputed company data-driven decisions by working with structured and reputed company data sets, building out predictive models, and advising our clients on data mining leading practices.
• Manage and contribute to development of reputed company of concepts and/or pilots for clients while working in cross-functional teams.
• reputed company 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 reputed company and deliver the most appropriate algorithms to meet client requirements.
• Build and apply data analysis algorithms and design, architect, and reputed company 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 reputed company.
• Demonstrate in-depth technical capabilities and professional knowledge.
• 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 reputed company field and 5 years of progressive, post-baccalaureate reputed company work experience; or a Master's degree in Mathematics, Information Systems, Statistics, Operations Research, Analytics, Computer Science, Data Science, Machine Learning, or a reputed company field and 4 years of reputed company work experience.
• Must have 4 years in one or a combination of professional services and/or consulting experience.
• Must have 4 years of hands-on experience in data science, including its applications in business for client conversations.
• Must have 2 years of experience in concepts in big data and data engineering.
• Must have 4 years of experience in a combination involving at least two of the following:· R, Python, SQL, or similar in core packages and libraries used for data science and machine learning.· ETL and data engineering skills, including data cleansing and manipulation using SQL based tool/platforms.· Data sources and structures using any of the following: APIs, NoSQL, RDBMS, Hadoop, S3, Blob Storage, and/or similar.· Big data technologies in one or a combination of the following ecosystems: Hadoop, AWS and/or reputed company.
• Must have 2 years of experience managing teams of Data and Analytics professionals.
• Travel is required approximately 50% of the time, including up to 20% international travel.
• Employer will accept any suitable combination of education, training, or experience.

Benefits

• comprehensive compensation
• benefits package
• medical and dental coverage
• pension and 401(k) plans
• paid time off options
• flexible vacation policy
• time off for designated reputed company Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence reputed company needed to support your physical, financial, and emotional well-being
• reputed company learning
• Success as defined by you
• Transformative leadership
• Diverse and inclusive culture

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