At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all.   The exceptional EY experience. It's yours to build.   EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.  

IT Advisor, Technology Consulting - AI & Data (Data Scientist) (Senior Manager) (Multiple Positions) (1599629), Ernst & Young U.S. LLP, Seattle, WA. 

Provide clients with a unique business perspective on how data science and analytics can transform and improve the entire organization.  Explain data science, concepts, tools, features, functions and the benefits of different approaches to apply them to incorporate data into decision making and solve business problems.   Lead large scale engagement that help  clients make data-driven decisions by working with structured and unstructured data sets, building out predictive models and advising clients on data mining leading practices. Apply data mining and statistical analysis techniques like hypothesis testing, segmentation and modelling to analyze large amounts of data. Build and apply data analysis algorithms for data mining, statistics, machine learning, natural language processing, sentiment analysis and text mining. Design, architect and develop solutions leveraging big data technology such as Open Source, Hortonworks, AWS or Microsoft to ingest, process and analyze large, disparate data sets to exceed business requirements. Communicate findings, recommendations and opportunities to improve data systems and solutions.  Look for opportunities for improving methods and outcomes. Apply a data driven approach (KPIs) in tying technology solutions to specific business outcomes.  Drive high-quality work products within expected timeframes and on budget. Ensure key stakeholders are kept informed about progress and expected outcomes. Manage expectations of client service delivery. 
 
Lead and direct teams of professionals with diverse skills and backgrounds by providing constructive on-the-job feedback/coaching to team members. Develop and maintain long-term client relationships and networks. Manage risk in the delivery of quality client services. Generate and manage new business opportunities.

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

MINIMUM REQUIREMENTS:

Bachelor's degree in Mathematics, Management Information Systems, Statistics, Computer Science, Business or a related field and 8 years of progressive, post-baccalaureate related work experience; or a master's degree in Mathematics, Management Information Systems, Statistics, Computer Science, Business or a related field and 7 years of related work experience. 
 
Must have 6 years of experience in providing advisory services with a strategic focus in helping clients achieve transformational value by improving performance and mitigating risk through the use of advanced analytics solutions.  
  
Must have 6  years of experience  driving revenue within existing clients and developing new prospects at the “C” level of Fortune 500 companies by understanding and translating business challenges into value add analytics solutions.  
 
Must have 6 years of Analytics engagement leadership experience including: leading a team of consulting professionals on multiple projects, providing regular status updates, monitoring project economics, hands on technical expertise and managing client relationships. 
 
Must have 6 years of hands-on experience with data science, big data, and data engineering. 
 
Must have 6 years of hands-on experience with various big data technologies in one or a combination of the following ecosystems: Hadoop, AWS and/or Microsoft. 
 
Must have 5 years of experience with 3 of the following data sources and structures:  APIs, NoSQL, RDBMS, Hadoop, S3, and Blob Storage. 
 
Must have 5 years of experience working on solid pattern recognition and predictive modelling.  
 
Must have 5 years of experience working on data mining and statistical tools. 
 
Must have 3 years of experience with statistical modeling, ETL and data ingestion/cleansing.  
 
Must have 3 years of experience setting up data and experimental platforms. 
 
Must have 3 years of experience using at least one or a combination of the following: R, SAS, Python, Java/C#, Scala, SQL, Hive or Pig. 
 
Must have 3 years of experience using machine learning algorithms including neural networks, k-NN, naive bays, decision trees and SVM. 
 
Must have 3 years of experience using recommendation engines, scoring systems, and A/B testing. 
 
Domestic travel required up to 80%, to serve client needs. 
 
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 - 1599629).
 

  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 $308,105 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.

  EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible.   EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.   Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.   Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.   For those living in California, please click here for additional information.   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, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com   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".