EY Jobs

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.

Government and Public Sector – Data Analytics – Machine Learning Engineer – Senior Consultant

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 engineering 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.

Our Machine Learning Engineer must be able to dig into large structured and unstructured data sets using statistical & research methods, machine learning, and subject matter expertise to find insights and solve often poorly or loosely defined problems.

This role will require a very methodical mindset combined with a keen set of skills in mathematics, statistics, algorithms, machine learning, and technology. In addition to being technically sound, this role also requires the knack for quickly gaining functional understanding of client data and client context to drive impactful analyses.

Analyses will need to be well documented and presented- ability to present findings to clients and simply explain complex analyses is essential. Industrialization of findings will also be important. This role will need to steward one-off analyses into recurring metrics and/or published data visualizations. You will work within a larger analytics team and needs to have a cursory understanding of data engineering, visualization design & development, and cloud infrastructure.

Your key responsibilities

You'll spend most of your time working with client(s) to deliver the latest data focused technologies and practices to design, build and maintain scalable and robust solutions that unify, enrich, and analyze data from multiple sources.

Also included:

• 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

• Unifying, enriching, and analyzing client data to derive new insights and opportunities

Skills and attributes for success

• Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions

• Deep understanding of and ability to teach data science, concepts, tools, features, functions and benefits of different approaches to apply them

• Drive to seek out information to learn about emerging methodologies and technologies

• Clarifying problems by driving to understand the true issue

• Solving problems by incorporating data into decision making

• 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 data ingestion/cleansing methods

• Strong skills with R or SAS

To qualify for the role, you must have

• Eligible to obtain and maintain a Secret Clearance

• Bachelor's degree related degree

• 4+ Years of related professional experience

• DOD or Government experience preferred

• 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 data ingestion/cleansing methods

• Strong skills with R or SAS

• Strong Python coding experience

• Experience with SQL, Hive, and Pig

• Experience in solving problems using at least two of the following: Python, R, SAS, SPSS, and Java

• Experience using data mining and statistical tools

• Solid pattern recognition and predictive modelling skills

• Working knowledge of recommendation engines, scoring systems, and A/B testing

• Must have worked with multiple tools/libraries such as Weka, NumPy, PyMongo, R, etc.

• Understanding of machine learning algorithms like k-NN, naive bayes, decision trees, SVM experience, among other methods

• Experience with Azure Data Factory, DataBricks, and AzureML a plus

• Familiarity with at least one data visualization development tool, e.g. - Tableau, PowerBI, D3.js

• Data competition experience (e.g. on Kaggle platform) and past winning records are a plus

• Ability to write clean, maintainable code and experience using Git as a code repository

• Experience on Agile projects a plus

• Experience on projects utilizing continuous delivery and deployment methodologies a plus

Ideally, you'll also have

• 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 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

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 salary range for this job in most geographic locations in the US is $88,300 to $145,800. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $106,000 to $165,600. 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. 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.

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

The exceptional EY experience. It’s 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, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to individuals with disabilities. If you are a qualified individual with a disability and either need assistance applying online or need to request an accommodation during the interview process, please call 1-800-EY-HELP3, type Option 2 (HR-related inquiries) and then type Option 1 (HR Shared Services Center), which will route you to EY’s Talent Shared Services Team or email SSC Customer Support at ssc.customersupport@ey.com .