Data Scientist 3

Sentar•Fort Meade, MD

16h

About The Position

Sentar is seeking a Data Scientist 3 in Maryland to develop and sustain analytics tools using computer science expertise. The role requires proficiency in Python, GM, and the customer toolset. The Data Scientist applies mathematical, computational, and statistical foundations; data management and curation; data description and visualization; reproducible workflows; and data modeling, assessment, and prediction. They use analytic modeling, statistical analysis, programming, and other appropriate scientific methods to develop and implement qualitative and quantitative approaches for exploring and assessing large datasets, including datasets with varying degrees of organization, cleanliness, and structure and the distinctive features and limitations of National Agency data holdings. The role also translates mission needs and analytic questions about large datasets into technical requirements, helps others draw appropriate conclusions from analyses, and communicates complex technical information to non-technical audiences. The position requires an active TS/SCI clearance with polygraph. Candidates need a qualifying bachelor's degree and relevant experience, or an associate degree with additional experience may be considered for candidates with deeply related experience. A broader range of degrees may be considered with a data science certificate from an accredited college or university.

Requirements

Active TS/SCI clearance with polygraph.
Bachelor’s degree with 10 years of relevant experience, or an associate degree with 12 years of experience may be considered for individuals with in-depth, clearly related experience.
Qualifying bachelor’s degree in mathematics, applied mathematics, statistics, applied statistics, machine learning, data science, operations research, computer science, a related field, a physical or hard science, or another science discipline with a substantial computational component. Certain degrees outside the listed disciplines require at least five advanced mathematics and/or computer science courses.
Relevant experience in one or more of machine learning, data science, advanced analytical algorithms, programming, statistical analysis, data management, data mining, data modeling and assessment, artificial intelligence, or software engineering.
Programming skill in at least one high-level language, such as Python.
Proficiency in Python, GM, and the customer toolset.
Capability in at least two skill areas among mathematical, computational, or statistical foundations; data processing; and modeling, inference, or prediction.
Ability to draw and communicate principal conclusions from data using mathematics, statistics, computer science, and application-specific knowledge.

Nice To Haves

A Certificate in Data Science from an accredited college or university may support consideration of a broader range of degrees.

Responsibilities

Develop and sustain analytics tools.
Use analytic modeling, statistical analysis, programming, and other scientific methods to characterize, explore, and assess large datasets.
Account for the distinctive features and limitations of National Agency data holdings when analyzing datasets.
Translate mission needs and analytic questions about large datasets into technical requirements.
Assist others in drawing appropriate conclusions from data analysis.
Communicate complex technical information effectively to non-technical audiences.

Benefits

Voluntary medical, dental, and vision insurance, with health savings or flexible spending plan options.
Voluntary life, critical illness, accident, and long-term care insurance options.
Group term life insurance and short- and long-term disability coverage provided to qualifying employees.
401(k) match.
Paid time off plan that increases with years of service.
Holiday schedule and other leave programs, including bereavement, maternity, jury, and military duty leave.
Mental health awareness programs.
Tuition reimbursement.
Professional development reimbursement.
Recognition and awards programs.
Employee ownership.