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Acclaim Technical Services · 1 week ago

Data Scientist, Level 4 (2025-0129)

Annapolis Junction, MD

Full-time

Onsite

Senior Level, Lead/Staff

$225K/yr - $250K/yr

15+ years exp

Acclaim Technical Services is a leading language, operations, and technology services company supporting a wide range of U.S. Federal agencies. They are currently seeking a Senior Data Scientist with a current TS/SCI w/ poly to support a critical program, focusing on designing and implementing machine learning and advanced analytical algorithms.

AnalyticsInformation Technology

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Designing/implementing machine learning

Data science

Advanced analytical algorithms

Programming (skill in at least one high-level language (e.g., Python))

Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models)

Data management (e.g., data cleaning and transformation)

Data mining

Data modeling and assessment

Artificial intelligence, and/or

Software engineering

Qualification

Machine learningData scienceStatistical analysisProgramming (Python)Data managementData miningData modelingArtificial intelligenceSoftware engineering

Required

Bachelor's degree and 15 years of relevant experience

Associate's degree and 17 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position

Degree must be in: Mathematics, Applied Mathematics, Statistics/Applied Statistics, Machine Learning, Data Science, Operations Research or Computer Science

A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university

Current TS/SCI w/ poly

Relevant experience must be two or more of the following: Designing/implementing machine learning, Data science, Advanced analytical algorithms, Programming (skill in at least one high-level language (e.g., Python)), Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models), Data management (e.g., data cleaning and transformation), Data mining, Data modeling and assessment, Artificial intelligence, and/or Software engineering