IT Advisor - Tech Cons - AI and Data - Data Science - Manager - Multiple Positions - 1040
IT Advisor - Tech Cons - AI and Data - Data Science - Manager - Multiple Positions - 1040
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
IT Advisor Technology Consulting AI & Data (Data Science) Manager (Multiple Positions)Ernst & Young U.S. LLP San Francisco CA.
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 datadriven 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 development of proof of concepts and/or pilots for clients while working in crossfunctional teams. Leverage inhouse 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 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 indepth technical capabilities and professional knowledge. Maintain longterm client relationships and networks. Cultivate business development opportunities.
Full time employment Monday Friday 40 hours per week 8:30 am 5:30 pm.
MINIMUM REQUIREMENTS:
Bachelors degree in Mathematics Information Systems Statistics Operations Research Analytics Computer Science Data Science Machine Learning or a related field and 5 years of progressive postbaccalaureate related work experience; or a Masters 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.
Must have 4 years in one or a combination of professional services and/or consulting experience.
Must have 4 years of handson 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 SAS 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 one or a combination 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 80 of the time up to 20 international travel.
Employer will accept any suitable combination of education training or experience.
Please apply online at ey/enus/careers and click on Careers Job Search then Search Jobs (Job Number.
- Continuous learning: Youll develop the mindset and skills to navigate whatever comes next.
- Success as defined by you: Well provide the tools and flexibility so you can make a meaningful impact your way.
- Transformative leadership: Well give you the insights coaching and confidence to be the leader the world needs.
- Diverse and inclusive culture: Youll be embraced for who you are and empowered to use your voice to help others find theirs.
Required Experience:
Manager
Employment Type
Advisor
