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Company

Original Job Post

EY · 2 days ago

Government and Public Sector - Data Analytics Manager

McLean, VA

Full-time

Onsite

Senior Level

$96K/yr - $159K/yr

6+ 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 predictive models, and advising on data mining leading practices

Building and applying data analysis algorithms such as data mining, statistics, machine learning, natural language processing, sentiment analysis, and text mining

Designing, architecting, and developing solutions leveraging big data technology to ingest, process, and analyze large, disparate data sets

Unifying, enriching, and analyzing customer data to derive new insights and opportunities

Communicating findings, recommendations, and opportunities to improve data systems and solutions

Demonstrating deep understanding of data science concepts and tools, and teaching them

Seeking out information on emerging methodologies and technologies

Clarifying problems, improving methods and outcomes, and applying a data-driven approach in decision-making

Collaborating, influencing, and building consensus through relationships and effective listening

Solving problems by incorporating data into decision making

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data scienceBig dataData engineeringData sourcesStatistical modelingETLData ingestionData cleansingPythonRSASJavaC#ScalaSQLHivePigMachine learningK-NNNaive bayesDecision treesSVMData miningStatistical toolsPredictive modellingRecommendation enginesA/B testingWekaNumPyPyMongo

Required

Eligible to obtain and maintain a Secret Clearance

Bachelor's degree

At least 6-8+ 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, 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

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

Hands-on experience with various big data technologies in one or more ecosystems (Hadoop, AWS or Microsoft)

Experience communicating issues, status and thought leadership to partners and clients

Building impactful relationships with key influencers to effectively manage work and generate new business opportunities

Share leading practices and insights about current industry or subject-matter topics with EY US leaders, proposal teams and clients

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

Preferred

Bachelor’s Degree or above in mathematics, information systems, statistics, computer science, or related disciplines

Experience with Azure Data Factory and AzureML a plus

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.

Benefits

Medical and dental coverage

Pension and 401(k) plans

Flexible vacation policy

EY Paid Holidays

Winter/Summer breaks

Personal/Family Care leave

Company

EY

Glassdoor

3.8

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.

Founded in 1989

London, England, GBR

10,001+ employees

http://www.ey.com

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