Bachelor's degree in a relevant field or equivalent experience.
10 years of relevant experience, or 12 years with an Associate's degree.
Proficiency in Python and advanced statistical analysis.
Experience in machine learning and data modeling.
Responsibilities
Develop and maintain analytics tools using Python and GM.
Manage and curate large datasets, ensuring data quality and reproducibility.
Conduct statistical analysis and modeling to derive insights from data.
Translate complex data needs into technical requirements for projects.
Communicate findings effectively to both technical and non-technical audiences.
Benefits
Voluntary medical, dental, and vision plans with flexible spending options.
Life, critical illness, accident, and long-term care insurance options.
Group term life and disability insurance provided by Sentar.
Generous 401(k) matching program.
Competitive PTO that increases with tenure.
Various leave programs including maternity and military duty.
Mental health awareness initiatives.
Tuition and professional development reimbursement.
Recognition and awards programs.
Full Job Description
Sentar is seeking a Data Scientist 3 in MD!
Role Description:
We are seeking a Data Scientist proficient in Python, GM, and the customer toolset. This role involves leveraging your computer science expertise to develop and sustain analytics tools.
The Level 3 Data Scientist shall possess the following capabilities:
Employ must have some combination (2 or more) of the following skill areas:
Data Processing: Data management and curation, data description and visualization, workflow and reproducibility
Modeling, Inference, and Prediction: Data modeling and assessment, domain-specific consideration.
Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge.
Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in National Agency data holdings.
Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.
Effectively communicate complex technical information to non-technical audiences.
Qualifications:
Clearance Level: TS/SCI with active poly
Education:
Bachelor's Degree with 10 years of relevant experience, Associates degree with 12 years of experience may be considered for individuals with in-depth experience that is clearly related to the position.
Bachelor's?Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count.
Broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
Experience:
Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on 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.
Benefits at Sentar:
Our unique ownership model attracts top talent, giving employees the freedom to take initiative and drive meaningful improvements. In addition to cultivating a thriving and inclusive work environment, Sentar offers an extensive benefits package designed to support the well-being of employees and their families. Employee ownership is the foundation of our culture, promoting participation, teamwork, and accountability while ensuring long-term financial security and a commitment to excellence.
Voluntary Medical, Dental, Vision, with Health Savings or Flexible Spending Plan options
Voluntary Life, Critical Illness, Accident, and Long Term Care insurance options
Group Term Life, Short-Term and Long-Term Disability is provided by Sentar to all qualifying employees
Generous 401(k) match
Competitive PTO plan that graduates quickly with years of service
Other leave programs; holiday schedule along with bereavement, maternity, jury and military duty
Mental health awareness programs
Tuition reimbursement
Professional development reimbursement
Recognition and Awards programs
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