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Department Summary :
MITRE’s Center for Government Effectiveness and Modernization (CGEM) works across US Treasury, Commerce, and the Veterans’ Administration.
These agencies affect every household in the country; our job is to make them more effective. The Tax and Data Analytics department (P823) is seeking a Senior Data Scientist to join our team, located in McLean, VA.
As a key member of our data analytics team, the Senior Data Scientist will help the IRS and Tax Administration Division (ITA) by providing technical expertise and task / project leadership on projects using data analytics to achieve sponsor mission goals.
Our data-intensive work includes :
- Improving the customer experience for people interacting with the agency
- Detecting tax non-compliance (identity theft, fraud, filing error, missing filings )
- Anticipating non-compliance (developing schemes before observation is feasible)
- Sampling and design of experiments
- Forecasting (service demand, resource performance, program value)
- Assessing tools and technology for government data science use
- Developing data and analytics strategy
Roles & Responsibilities :
- Apply data science concepts, e.g., machine learning, statistical inference, to solve tax administration problems.
- Select and develop appropriate analytical methods and techniques for the problem at hand.
- Develop actionable insights based on analysis across multiple structured and unstructured data sources.
- Be knowledgeable of industry trends, emerging technologies, and regulatory changes related to data science.
- Perform across a broad range of assignments.
- Work independently with minimal instructions, guidance, and direction.
Basic Qualifications :
Requires a minimum of 5 years of related experience with a Bachelor’s degree; or 3 years and a Master’s degree; or a PhD with relevant experience who can immediately contribute at this job step;
or equivalent combination of related education and work experience.
- Must be able to obtain & maintain a US government security clearance (IRS Suitability)
- Academic background in data science, statistics, mathematics, operations research, computer science, or related technical field
- Strong problem-solving skills and the ability to think critically.
- Experience in designing and implementing data models and predictive analytics.
- Excellent communication skills, with the ability to link technical results to the business domain.
- For our early-career data scientists, we expect at least two of :
- Demonstrated proficiency with programming languages, preferably Python and / or R
- Proficiency with inferential statistics, sampling, and design of experiments
- Proficiency with machine learning frameworks
- Experience with data engineering and data querying languages such as SQL
- This position requires a minimum of 50% hybrid on-site
Preferred Qualifications :
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Experience with data visualization tools like Tableau, Power BI, or D3.js.
- Experience with Artificial Intelligence technology such as deep learning and Large Language Models
- Demonstrated knowledge of the tax administration ecosystem, e.g., compliance processes, taxpayer service, IRS technology and infrastructure
- Familiarity with data architecture and data management concepts and strategies, such as the data lifecycle, data stewardship and governance
- Experience working with or leading multidisciplinary teams
This requisition requires the candidate to have a minimum of the following clearance(s) :
None
This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s) :
Suitability - IRS
Work Location Type : Hybrid
Hybrid
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