Data Scientist 2

Sentar

$90K — $120K *
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • TS/SCI clearance with active Poly required
  • Bachelor's degree with 3 years or Associate's with 5 years of relevant experience
  • Degree must be in relevant fields such as Mathematics or Data Science
  • Advanced coursework in Mathematics or Computer Science is necessary
  • Certificate in Data Science from an accredited institution is a plus

Responsibilities

  • Extract VPN information for database integration
  • Leverage expertise in CASNs for data selection analysis
  • Analyze and interpret data to drive insights
  • Develop strategies to derive meaning from large datasets
  • Translate analytic needs into technical requirements
  • Communicate complex technical data to non-technical audiences
  • Make informed recommendations on technical solutions

Benefits

  • Voluntary Medical, Dental, and Vision options
  • Comprehensive life and critical illness insurance
  • Short-term and long-term disability coverage
  • Generous 401(k) matching contributions
  • Competitive PTO policy with rapid accrual
  • Mental health awareness initiatives
  • Tuition and professional development reimbursement
  • Employee recognition and award programs
Full Job Description
Sentar is seeking a Data Scientist 2!

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:

In addition to a great culture, Sentar not only fosters an inclusive work environment but also offers an extensive benefits package designed to cater to the well-being of its employees and their families.
  • 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, jury and military duty
  • Mental health awareness programs
  • Tuition reimbursement
  • Professional development reimbursement
  • Recognition and Awards programs

If you are not ready to apply for this position, submit your resume here to join our talent community. We'll keep you updated occasionally on new job opportunities.

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