Data Scientist

RealmOne; Columbia (MD); On-site; USD 119,000 - 285,000; Full time

Benefits offered by this job

Healthcare coverage

401K retirement plan

PTO + holidays

Udemy learning access

Parental leave

Job summary

RealmOne is seeking a Data Scientist to join our mission-critical analytics contract focused on cybersecurity. The role emphasizes Python programming, automating data workflows, and creating clear visualizations in Jupyter Notebooks to support data-driven decisions.

The ideal candidate will work on data processing, modeling, and reproducible analytics, collaborating with a team of data professionals while preparing technical insights for non-technical stakeholders.

Qualifications

• Bachelor's Degree in Mathematics, Statistics, Computer Science or related field is required or equivalent
• Experience designing/implementing ML, data science, and statistical analysis
• Strong programming skills in Python and data workflow automation

Skills

Python

Data science

Jupyter

Data visualization

Workflow automation

Data manipulation

Statistics

Education

Bachelor's Degree in Mathematics, Statistics, Computer Science or related field

Associates degree with relevant experience

Tools

Jupyter Notebook

Job description

Job Brief

Data Science, Python, Jupyter

Job Description

Are you VIGILANT about your career? RealmOne definitely is!

Join us on this journey as we execute this mission-critical contract providing high-end analytics and data science services within the REALM of cybersecurity.

Your effort and expertise are crucial to the success and execution of this impactful mission. This opportunity supports a team of Data Scientists, Cryptologic Computer Scientists, Cryptanalytic Computer Scientists, Cryptologic Cyber Planners, Intrusion Analysts, Protocol Analysts, Signals Analysts and Reverse Engineers, responsible for improving, protecting, and defending our Nation's Security.

We are seeking a Data Scientist proficient in Python and experienced in automating workflows, data manipulation, and visualization using Jupyter Notebooks. This role involves leveraging Python expertise to streamline processes and create insightful visualizations for data-driven decision-making.

The Data Scientist shall possess the following capabilities:

• 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 DOD 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 DOD collection, processing, storage and analytic capabilities and limitations.

Qualifications:

• Level 2:
  • Bachelor's Degree with 3 years of relevant experience
  • Associates degree with 5 years of relevant experience
• Level 3:
  • Bachelor's Degree with 10 years of relevant experience
  • Associates degree with 12 years of relevant experience
• Level 4:
  • Bachelor's Degree with 15 years of relevant experience
  • Associates degree with 17 years of relevant experience
• All Levels: 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.
• Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language such as 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. Experience in more than one area is strongly preferred.

Position requires active Security Clearance with appropriate Polygraph.

Pay Range: 119,000-285,000

RealmOne Benefits

• 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 buy-up option available.
• Retirement + Savings: 401K - 10% TOTAL CONTRIBUTION - 5% safe harbor - 5% annual profit share. Immediate vested, no match required!
• 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.
• MORE BENEFITS FOR EVERY LIFESTYLE! - Paid parental leave - Adoption assistance - Annual swag drops - Flexible work schedules - Generous referral bonus program - Employee appreciation + family-friendly corporate events and much more.