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Jobs · Engineering · Texas

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

EY · Austin, TX · 2 wk ago
On-siteEngineering$149k/yrFull-time

About the role

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

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.
  • Aid clients in making 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 as required to exceed business requirements.
  • 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.

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 Mathematics, Information Systems, Statistics, Operations Research, Analytics, Computer Science, Data Science, Machine Learning, or a related field and 4 years of related work experience.
  • 4 years in one or a combination of professional services and/or consulting experience.
  • 4 years of hands-on experience in data science, including its applications in business for client conversations.
  • 2 years of experience in concepts in big data and data engineering.
  • 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.

Qualifications

  • 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 Microsoft.

Skills

  • Technical capabilities and professional knowledge.
  • Team management and leadership.
  • Client relationship management.
  • Business development.

Benefits

  • Comprehensive compensation and benefits package including medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
  • Continuous learning opportunities.
  • Flexible vacation policy.
  • Transformative leadership.
  • Diverse and inclusive culture.

Pay

$148,741.00 per year.

Schedule

Full time employment, Monday – Friday, 40 hours per week, 8:30 am – 5:30 pm.

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