IT Adv - TC - AI and Data - Data Scientist - Senior Manager - Multiple Positions - 1599629
Company: Ernst & Young Advisory Services Sdn Bhd
Location: Seattle
Posted on: June 2, 2025
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Job Description:
Location: SeattleOther locations: Primary Location OnlyDate: Apr
14, 2025Requisition ID: 1599629At 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.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 offerWe offer a comprehensive compensation and
bene---ts 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 ---exible 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, ---nancial, and emotional well-being.
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Keywords: Ernst & Young Advisory Services Sdn Bhd, Kirkland , IT Adv - TC - AI and Data - Data Scientist - Senior Manager - Multiple Positions - 1599629, Executive , Seattle, Washington
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