Data Scientist 3

Sentar Inc.; Fort Meade (MD); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Voluntary Medical, Dental, Vision

Generous 401(k) match

Competitive PTO plan

Tuition reimbursement

Professional development reimbursement

Job summary

A technology solutions company is seeking a Data Scientist in Fort Meade, Maryland. The ideal candidate should have expertise in Python and statistical analysis, and a minimum of 10 years of relevant experience. Key responsibilities include developing analytics tools and translating complex technical requirements into non-technical language. A TS/SCI clearance with an active polygraph is required. The job offers comprehensive benefits including medical, dental, 401(k) match, and tuition reimbursement.

Qualifications

• Bachelor’s degree with at least 10 years of related experience.
• Proficiency in at least one high-level programming language such as Python.
• Experience in statistical analysis and data modeling.

Responsibilities

• Develop and sustain analytics tools using computer science expertise.
• Translate mission needs into technical requirements.
• Communicate complex technical information to non-technical audiences.

Skills

Data management and curation

Statistical analysis

Programming in Python

Data visualization

Machine Learning

Education

Bachelor’s Degree in Mathematics, Statistics, or related field

Job description

Sentar is proud to be an employee‑owned company, fostering a culture of empowerment, collaboration, and innovation. Sentar is dedicated to developing the critical talent the connected world demands to create solutions that address the convergence of cybersecurity, intelligence, analytics, and systems engineering. We invite you to join the team where you can build, innovate, and secure your career.

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.

Responsibilities

• Employ must have 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 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 polygraph

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, Machine Learning, Data Science, Operations Research, or Computer Science or 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, and include at least five courses in advanced mathematics and/or computer science.
• Broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.

Experience

• Relevant experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high‑level language such as Python), statistical analysis (variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.

Benefits

• 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 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

EEO & Inclusion

Sentar is an affirmative action and equal opportunity employer M/F/Vets/Persons with Disabilities.

Sentar is proudly an Equal Opportunity and VEVRAA Federal Contractor Employer M/F/Vets/Persons with Disabilities. We provide accommodations for individuals with a disability during the application and employment process.