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IT Advisor - Technology Cons - AI and Data - Data Science - Manager - Multiple Positions - 1703399

$142.21k

Ernst & Young Oman

IT Advisor, Technology Consulting - AI & Data (Data Science) Manager Ernst & Young U.S. LLP – Chicago, IL. Overview Work with a wide variety of clients to deliver the latest data science technologies and operations research techniques. Design, build and maintain scalable solutions that unify, enrich, and analyze data from multiple sources. Assist clients in making data‑driven decisions through predictive modeling, data mining, and advanced analytics. Manage global data and analytics teams, oversee model development, and provide technical direction and business development. Responsibilities Deliver solutions that incorporate structured and unstructured data, predictive models, and best practices in data mining. Develop proofs of concept, pilots, and new data platforms/solutions to exceed client business requirements. Manage and mentor teams of data scientists and data engineers, ensuring timely delivery of high‑quality outcomes. Maintain and grow long‑term client relationships, identify and cultivate business development opportunities. Communicate findings, recommendations, and opportunities through client presentations and internal stakeholders. Operate in a full‑time schedule (Monday – Friday, 40 hours, 8:30 am – 5:30 pm). Travel 80% of the time, including up to 20% international travel. Minimum 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 post‑baccalaureate experience; OR Master’s degree and 4 years of experience. At least 4 years of professional services and/or consulting experience. At least 4 years of hands‑on data science experience focused on business outcomes. At least 2 years of experience with big data concepts and data engineering. At least 4 years of experience with two of the following: Core data science tools: R, Python, SQL, SAS. ETL/data engineering skills, including data cleansing with SQL‑based tools. Data sources/structures: APIs, NoSQL, RDBMS, Hadoop, S3, Blob Storage. Big data technologies: Hadoop, AWS, Microsoft. At least 2 years of experience managing teams of Data and Analytics professionals. Employer accepts any suitable combination of education, training, or experience. Travel required: 80% of the time, up to 20% international. Benefits Comprehensive compensation and benefits package, including a base salary of $142,210 per year, medical and dental coverage, pension and 401(k) plans, and various paid time off options. Flexible vacation policy and paid holidays. Hybrid work model with 40-60% in‑person client engagement. Equal Employment Opportunity EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records. EY is committed to providing reasonable accommodation to qualified individuals with disabilities. Legal Compliance This position requires the qualified candidate to be a “United States worker” as defined by the U.S. Department of Labor regulations at 20 CFR 656.3. #J-18808-Ljbffr Ernst & Young Oman

Vacancy posted 2 days ago
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