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Data Scientist 2

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RealmOne

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Location:
United States , Central Maryland

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

122000.00 - 168000.00 USD / Year
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Job Description:

We are seeking a Data Scientist with a background in AI, Machine Learning (ML), and Natural Language Processing (NLP). You will triage the development of large language datasets and develop tools and techniques for analysis. The focus of this position will be on rapid prototyping and data mining.

Job Responsibility:

  • Triage the development of large language datasets and develop tools and techniques for analysis
  • Focus on rapid prototyping and data mining
  • Possess foundations in 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
  • 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 features and limitations inherent in Customer 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

Requirements:

  • Bachelor’s Degree with 3 years of relevant experience, associate’s degree with 5 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
  • Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one 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
  • Position requires active Security Clearance with appropriate Polygraph
What we offer:
  • Healthcare Coverage + Insurance: Medical: Three (3) rich healthcare options through CareFirst with 100% or majority company-paid premiums
  • Tax-advantaged health savings account available with generous employer contribution
  • Dental + Vision: 100% employer-paid for employees and family, with a buy-up option available
  • Retirement + Savings: 401K – 10% TOTAL CONTRIBUTION – 5% safe harbor – 5% annual profit share (both immediately vested!)
  • Paid Time Off + More: 4 weeks starting PTO – 11 federal holidays + 2 floating holidays – Paid hours for company-required training
  • Career Growth + Development: Access to FREE 24/7 learning via Udemy – Opportunities to participate in tech councils, industry initiatives, etc. – $7,500 annual Educational & Professional Development Assistance
  • Paid parental leave
  • Annual swag drops
  • Flexible work schedules
  • Generous referral bonus program
  • Employee appreciation + family-friendly corporate events

Additional Information:

Job Posted:
May 05, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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