Government and Public Sector Service Delivery Center AI & Data Analyst

Government and Public Sector Data Analytics Staff (Data Analyst)

From strategy to execution the Government and Public Sector practice of Ernst & Young LLP provides a full range of consulting and audit services to help our Federal State Local and Education clients implement new ideas to help achieve their mission outcomes. We deliver real change and measurable results through our diverse high-performing teams quality work at the highest professional standards operational know-how from across our global organization and creative and bold ideas that drive innovation. We enable our government clients to achieve their mission of protecting the nation and serving the people; increasing public safety; improving healthcare for our military veterans and citizens; delivering essential public services; and helping those in need. EY is ready to help our government build a better working world.

EY delivers unparalleled service in big data business intelligence and digital analytics built on a blend of custom-developed methods related to customer analytics data visualization and optimization. We leverage best practices and a high degree of business acumen that has been compiled over years of experience to ensure the highest level of execution and satisfaction for our clients. At EY our methods are not tied to any specific platforms but rather arrived at by analyzing business needs and making sure that the solutions delivered meet all client goals.

The opportunity

You will help our clients navigate the complex world of modern data science and analytics. Well look to you to provide our 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. This is a high growth high visibility area with plenty of opportunities to enhance your skillset and build your career.

Your key responsibilities

Youll spend most of your time working with a wide variety of clients to deliver the latest data science and big data technologies and practices to design build and maintain scalable and robust solutions that unify enrich and analyze data from multiple sources.

Skills and attributes for success

• Applying data mining and statistical analysis techniques like hypothesis testing segmentation and modelling to analyze large amounts of data
• Helping our 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
• Building and applying data analysis algorithms (data mining statistics machine learning natural language processing sentiment analysis text mining etc.) as appropriate
• Designing architecting and developing solutions leveraging big data technology (Open Source Hortonworks AWS or Microsoft) to ingest process and analyze large disparate data sets to exceed business requirements
• Unifying enriching and analyzing customer data to derive new insights and opportunities
• Leveraging in-house data platforms as needed and recommending and building new data platforms/solutions as required to exceed business requirements
• Clearly communicating findings recommendations and opportunities to improve data systems and solutions
• Demonstrating deep understanding of and ability to teach data science concepts tools features functions and benefits of different approaches to apply them
• Seeking out information to learn about emerging methodologies and technologies
• Clarifying problems by driving to understand the true issue
• Looking for opportunities for improving methods and outcomes
• Applying data driven approach (KPIs) in tying technology solutions to specific business outcomes
• Collaborating influencing and building consensus through constructive relationships and effective listening
• Solving problems by incorporating data into decision making

To qualify for the role you must have

• Eligible to obtain and maintain a Secret Clearance
• Bachelors degree
• At least 1-2 year of hands-on experience with data science big data or data engineering
• Extensive experience connecting to various data sources and structures: APIs NoSQL RDBMS Hadoop S3 Blob Storage etc.
• Deep understanding of statistical modeling as well as ETL data ingestion/cleansing and engineering skills
• Ability to set up data and experimental platforms
• Must have 1 of the following: Python R SAS Java/C# or Scala
• Must have 1 of the following: SQL Hive Pig
• Machine learning using k-NN naive bayes decision trees SVM experience required
• Experience using data mining and statistical tools
• Solid pattern recognition and predictive modelling skills
• Recommendation engines scoring systems A/B testing
• Must have worked with multiple tools/libraries such as Weka NumPy PyMongo R etc.
• Hands-on experience with various big data technologies in one or more ecosystems (Hadoop AWS or Microsoft)

Ideally youll also have

• Bachelors Degree or above in mathematics information systems statistics computer science or related disciplines
• Experience with Azure Data Factory and AzureML a plus
• Thorough business understanding of data science application and ability to communicate with key decision-makers
• Communication is essential must be able to listen and understand the question and develop and deliver clear insights

Due to the nature of our work in the Government and Public Sector work may be required to be completed at client EY and/or contractor sites. Our goal is to assign professionals to projects within a commutable distance of their work location certain circumstances travel may be required beyond your work location based on client and project needs. Candidates should be willing to travel 20 30% or more.

What we look for

Were interested in passionate leaders with strong vision and a desire to stay on top of trends in the Data Science and Big Data industry. If you have a genuine passion for helping businesses achieve the full potential of their data this role is for you.

At EY youll 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 were counting on your unique voice and perspective to help EY become even better too. Join us and build an exceptional experience for yourself and a better working world for all.

What we offer

We offer a competitive compensation package where youll be rewarded based on your performance and recognized for the value you bring to our 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 youll decide how much vacation time you need based on your own personal circumstances. Youll 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: 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.

If you can demonstrate that you meet the criteria above please contact us as soon as possible.

The exceptional EY experience. Its yours to build.

EY Building a better working world

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.

EY is an equal opportunity affirmative action employer providing equal employment opportunities to applicants and employees without regard to race color religion age sex sexual orientation gender identity/expression national origin protected veteran status disability status or any other legally protected basis in accordance with applicable law.