Cons-Tech Cons-AI and Data-Enterprise Data - Data Science-Manager-Multiple Positions - 1716485

Job Overview Consulting – Technology Consulting – AI and Data – Enterprise Data – Data Science – Manager – Austin, TX (Job #1716485) 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 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 the development of proof of concepts and/or pilots for clients while working in cross-functional teams. Leverage in-house data platforms as needed and recommend and build new data platforms/solutions 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. Full‑time employment, Monday – Friday, 40 hours per week, 8:30 am – 5:30 pm. Qualifications 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. 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 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 Microsoft. 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 We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary for this job is $148,741.00 per year. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client‑serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

Eligibility This particular position at Ernst & Young in the United States 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. You can review this definition at at the bottom of page 750. Please feel free to apply to other positions that do not require you to be a "U.S. worker". 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, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, type Option 2 (HR‑related inquiries) and then type Option 1 (HR Shared Services Center), which will route you to EY’s Talent Shared Services Team or email SSC Customer Support at View email address on click.appcast.io. #J-18808-Ljbffr EY