Be an early applicantLess than 25 applicants
EY ยท 2 days ago
Machine Learning Engineer - Senior Consultant
McLean, VA
Full-time
Onsite
Mid Level
$116K/yr - $180K/yr
4+ years exp
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Responsibilities
Applying data mining and statistical analysis techniques like hypothesis testing, segmentation, and modeling to analyze large amounts of data
Helping clients make data-driven decisions by working with structured and unstructured data sets, building out predictive models and advising on data mining best 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
Qualification
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Required
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
Preferred
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
Benefits
Medical and dental coverage
Pension and 401(k) plans
Flexible vacation policy
Paid time off options
EY Paid Holidays
Winter/Summer breaks
Personal/Family Care leaves
Company
EY exists to build a better working world, helping create long-term value for clients, people and society and build trust in the capital markets.
10,001+ employees
Funding
Current Stage
Late StageLeadership Team
Jonathan Williamson
Chief Operating Officer
Zoey Carver
AI@EY Deputy COO - Global Innovation Product Owner
Recent News
2024-04-18
2024-04-17
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