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.

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

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.

TO QUALIFY FOR THE ROLE, YOU MUST HAVE

• MUST have an active secret clearance or be eligible to obtain and maintain one
• 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 onsite as needed in the greater Washington, DC area

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 range for this job in all geographic locations in the US is $105,100 to $192,700. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $126,100 to $218,900. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. 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