EY · 2 days ago
Government and Public Sector - Data Analytics Manager
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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
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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
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.
H1B Sponsorship
EY has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (7267)
2022 (9628)
2021 (6575)
2020 (7115)
Funding
Current Stage
Late StageLeadership Team
Recent News
2024-04-18
2024-04-17
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