EY IT Advisor, Tech. Con. - Data & Analytics - Data Science - Manager - Multiple Positions - 1330624 in Seattle, Washington
IT Advisor, Technology Consulting - Data & Analytics - Data Science - Manager - Multiple Positions – 1330624 , Ernst & Young U.S. LLP, Seattle, WA.
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. Help clients navigate the complex world of modern data science and analytics. Provide clients with a unique business perspective on how data science and analytics can transform and improve their entire organization – starting with key business issues they face. Clarify problems by driving to understand the true issue. Solve problems by incorporating data into decision making. Apply data mining and statistical analysis techniques like hypothesis testing, segmentation and modelling to analyze large amounts of data. Help clients 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. Build and apply data analysis algorithms including data mining, statistics, machine learning, natural language processing, sentiment analysis, and text mining. Design, architect and develop solutions leveraging data technologies including ORACLE, AWS and teradata to ingest, process and analyze large, disparate data sets to exceed business requirements. Unify, enrich and analyze customer data to derive new insights and opportunities. Leverage in-house data platforms and recommend and build new data platforms/solutions as required. Communicate findings, recommendations and opportunities to improve data systems and solutions. Demonstrate a deep understanding of and have the ability to teach data science, concepts, tools, features, functions and benefits of different approaches to apply them. Apply a data driven approach (KPIs) in tying technology solutions to specific business outcomes. Look for opportunities for improving methods and outcomes. Collaborate, influence and build consensus through constructive relationships and effective listening.
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.
Bachelor's degree in Mathematics, Information Systems, Statistics, Operations Research, Analytics, Computer Science, 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, or a related field and 4 years of related work experience.
Must have 4 years of advisory professional services and/or consulting experience.
Must have 4 years hands-on experience with data science and data engineering.
Must have 4 years of experience connecting data sources and structures including: APIs, NoSQL, RDBMS, Hadoop, S3, and/or Blob Storage.
Must have 3 years of experience with statistical modeling, ETL and data ingestion/cleansing.
Must have 3 years of experience using advanced analytics to solve business problems.
Must have 4 years of experience setting up data and experimental platforms.
Must have 4 years of experience with R, Python, Java, C#, Scala, SQL, Hive, and/or Pig
Must have 3 years of experience with Machine learning using k-NN, naive bayes, decision trees, and/or SVM.
Must have 4 years of Experience using data mining and statistical tools.
Must have 4 years of Hands-on experience with various big data technologies in one or more of the following ecosystems: Hadoop, AWS and/or Microsoft.
Must have 2 years of experience in cloud big data engineering with one of the following: AWS, Azure, and/or GCP.
Must have one year of experience with Azure.
Must have 2 years of experience with solid pattern recognition and predictive modelling.
Must have 2 years of experience with recommendation engines, scoring systems, and/or A/B testing.
Must have 4 years of experience working with multiple tools/libraries including Panda, NumPy, PyMongo and/or R.
Must have 2 years of experience managing teams of Data and Analytics professionals.
Travel is required approximately 80% of the time
Employer will accept any suitable combination of education, training, or experience.
Please apply on-line at ey.com/en_us/careers and click on "Careers - Job Search”, then “Search Jobs" ( Job Number – 1330624).
What we offer
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 $158, 371.00 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. 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.
If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
The exceptional EY experience. It’s yours to build.
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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 https://www.gpo.gov/fdsys/pkg/CFR-2011-title20-vol3/pdf/CFR-2011-title20-vol3-sec656-3.pdf 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".