Job Abstract

Government and Public Sector – Data Analytics Senior Consultant - TS/SCI CI Poly

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. We'll 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

You'll 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 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
 

• MUST have an active TS SCI w CI Poly clearance
• Bachelor's degree
• At least 3-5+ years hands-on experience with data science, big data, and 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, Python, 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
• Hands-on experience with various big data technologies in one or more ecosystems (Hadoop, AWS or Microsoft)
• MUST be able to work in-person in the greater Washington, DC area (including Maryland and Virginia)

Ideally, you'll also have
 

• Bachelor's Degree or above in mathematics, information systems, statistics, computer science, or related disciplines
• Experience with Azure Data Factory and AzureML a plus
• Communication is essential, must be able to listen and understand the question and develop and deliver clear insights
• Experience communicating issues, status and thought leadership to partners and clients

Developing people through effective leadership, coaching, mentoring and performance assessment of all levels of staff

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 office.  In 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

We're 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, 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, 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 you'll be rewarded based on your performance and recognized for the value you bring to our business. 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.

• 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.