Data Scientist 2

Sentar; Fort Meade (MD); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Voluntary Medical, Dental, Vision

Competitive PTO

401(k) match

Employee ownership

Job summary

Sentar in Columbia, MD seeks a Data Scientist 2 to join a team focused on cybersecurity, analytics, and systems engineering. You will apply advanced analytics, modeling, and data extraction to inform decisions and integrate VPN information into databases.

Candidates should demonstrate strong statistical and programming skills, experience with large Gov data, and a TS/SCI with active poly. The role offers a collaborative environment, robust benefits, and opportunities for growth within Sentar.

Qualifications

• Bachelor’s degree required with relevant experience
• TS/SCI clearance with poly required or active
• Strong foundation in statistics and modeling techniques
• Experience extracting VPN information for database integration and data selection challenges

Skills

Data science fundamentals

SQL/DB

Python

Statistics

Education

Bachelor’s Degree in Mathematics/CS/Statistics

Tools

SQL

Pandas

ETL

Job description

Sentar is dedicated to developing the critical talent that the connected world demands to create solutions to address the convergence of cybersecurity, intelligence, analytics, and systems engineering. We invite you to join the small business team where you can build, innovate, and secure your career.

Sentar is seeking a Data Scientist 2 in Columbia, MD!

Role Description:

We’re in search of a Data Scientist with a solid understanding of DX and XKS, who is proficient in extracting VPN information for integration into databases. You’ll also need expertise in CASNs and how they influence data selection processes. Your role will involve leveraging these skills to analyze and interpret data, driving insights and informing strategic decision-making within our organization.

The Level 2 Data Scientist shall possess the following capabilities:

Employ some combination (2 or more) of the following skill areas:

• Foundations: (Mathematical, Computational, Statistical)
• Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility)
• Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)
• Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through 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 features and limitations inherent in Government 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. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Government collection, processing, storage and analytic capabilities and limitations.

Qualifications:

Clearance Level: TS/SCI with active Poly

Education:

• Bachelor’s Degree with 3 years of relevant experience
• Associates degree with 5 years of relevant experience
• 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.? Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.

Benefits at Sentar:

Our unique employee 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 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

Sentar is an Affiramtive Action and Equal Opportunity Employer M/F/Vets/Persons with Disabilities

We want you to build your career at Sentar, so if you are an individual with a disability and require a reasonable workplace accommodation applying for a job or at any point in the employment process, contact the Recruiting Manager at [e-mail] . Please indicate the specifics of the assistance needed. Thank you for considering Sentar in your employment search.

Build, Innovate, Secure Your Career at Sentar.