EY Government Public Sector - AI Data Machine 

United States, Virginia, Arlington 

677358024

Government and Public Sector – AI & Data – Machine Learning Engineer – Senior Consultant

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 modeling 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

To qualify for the role, you must have

• Eligible to obtain and maintain a Secret Clearance
• Bachelor's degree related field
• 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 Python coding experience
• Experience with SQL
• 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, TensorFlow, 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
• Experience on Agile projects using DevOps tools to integrate code
• Experience on projects utilizing continuous delivery and deployment methodologies

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.

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

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.

• 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.