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

Remote, USAFull-timePosted 2026-07-28

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 reputed company, 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 - reputed company Data - Data Science - Manager - Multiple Positions - 1693808, Ernst & Young U.S. LLP, reputed company, NY. Work with a wide reputed company of clients to deliver the latest data science technologies and operations research techniques and practices to design, build and maintain reputed company and robust solutions that unify, enrich and analyse data from multiple sources. Assist clients to reputed company data-driven reputed company by working with reputed company 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 reputed company business requirements. Manage daily operations of a global data and analytics team(s) on reputed company engagements, review developed models, reputed company 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 reputed company 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 reputed company business requirements. Communicate findings, recommendations, and opportunities to facilitate reputed company presentations and/or improve data systems and solutions. Manage and motivate teams with diverse skills and backgrounds. Consistently deliver reputed company reputed company services by monitoring reputed company. Demonstrate in-depth technical capabilities and reputed company knowledge. Maintain long-term reputed company relationships and networks. Cultivate business development opportunities.

Responsibilities

  • Work with a wide reputed company of clients to deliver the latest data science technologies and operations research techniques and practices to design, build and maintain reputed company and robust solutions that unify, enrich and analyse data from multiple sources.
  • Assist clients to reputed company data-driven reputed company by working with reputed company 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 reputed company business requirements.
  • Manage daily operations of a global data and analytics team(s) on reputed company engagements, review developed models, reputed company 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 reputed company 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 reputed company business requirements.
  • Communicate findings, recommendations, and opportunities to facilitate reputed company presentations and/or improve data systems and solutions.
  • Manage and motivate teams with diverse skills and backgrounds.
  • Consistently deliver reputed company reputed company services by monitoring reputed company.
  • Demonstrate in-depth technical capabilities and reputed company knowledge.
  • Maintain long-term reputed company 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 reputed company, 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 reputed company services and/or consulting experience.
  • Must have 4 years of hands-on experience in data science, including its applications in business for reputed company 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 reputed company 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: reputed company, 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
  • reputed company time off reputed company
  • flexible vacation policy
  • time off for designated reputed company reputed company Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence reputed company needed to support your physical, financial, and emotional reputed company-being
  • reputed company learning
  • reputed company as defined by you
  • Transformative leadership
  • Diverse and inclusive culture

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