Data Scientist 4

RealmOne; Maryland; On-site; USD 211,000 - 266,000; Full time

Benefits offered by this job

Healthcare coverage

401K

Paid time off

Udemy access

Educational & Professional Development

Paid parental leave

Flexible work schedules

Referral bonus

Job summary

RealmOne is seeking a Level 4 Data Scientist to support intelligence-driven cybersecurity objectives with advanced analytics and AI-enabled workflows. The role requires converting mission needs into technical data requirements, conducting EDA on large datasets, and translating complex findings for decision-makers.

Responsibilities include building automated data-processing solutions, collaborating across teams, and utilizing Python, PySpark, and ML frameworks to deliver actionable insights.

Qualifications

• Bachelor’s degree in a relevant field with substantial computational coursework.
• Experience with large-scale data processing, ML workflows, and data visualization.
• Strong programming in Python and PySpark; familiarity with ML frameworks.

Responsibilities

• Perform EDA on large datasets to surface insights for RFIs.
• Develop AI-enabled workflows to modernize analytics pipelines.
• Translate findings for non-technical decision-makers.
• Convert mission needs into technical data requirements.
• Support teammates in data analysis and interpretation.
• Convey complex analytics clearly to non-technical audiences.

Skills

Python

PySpark

Statistical analysis

Communication

Education

Bachelor’s Degree in Mathematics/Applied Statistics/CS

Data Science Certificate (optional)

Tools

Python

R

SQL

Scala

PyTorch

TensorFlow

Scikit-Learn

LangChain

LlamaIndex

Hugging Face Transformers

Tableau

Seaborn

Matplotlib

Plotly

Git

Docker

Kubernetes

Jupyter Notebooks

Job description

RealmOne is hiring a Level 4 Data Scientist to support intelligence-driven cybersecurity objectives with advanced analytics and AI-enabled workflows.

Responsibilities

• Conduct exploratory data analysis (EDA) on large, complex datasets to surface critical insights and respond to RFIs.
• Build and integrate AI-enabled workflows and automated data-processing solutions to modernize the analytic lifecycle and reduce reliance on legacy processes.
• Translate findings across technical documentation and collaborative forums, connecting complex analytics with decision-makers.
• Convert mission needs and analytic questions for large datasets into technical requirements.
• Support others in drawing appropriate conclusions from large-dataset analyses.
• Communicate complex technical information clearly to non-technical audiences.

Requirements

• 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.
• Make and communicate principal conclusions from data using mathematics, statistics, computer science, and application-specific knowledge.
• Use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method.
• Develop and implement qualitative and quantitative methods to characterize, explore, and assess large datasets across differing states of organization, cleanliness, and structure, accounting for features and limitations in Government data holdings.
• Ability to translate practical mission needs and analytics questions for large datasets into technical requirements.
• Python and PySpark proficiency (R, SQL, and Scala are advantageous).
• AI/ML experience with frameworks including PyTorch, TensorFlow, and Scikit-Learn.
• Architectural familiarity with RAG, prompt engineering, or LoRa workflows.
• Experience with LangChain, LlamaIndex, and Hugging Face Transformers is beneficial.
• Knowledge of vector databases and data-visualization platforms such as Tableau, Seaborn, Matplotlib, and Plotly.
• Any DevOps experience (Git, Docker, Kubernetes, or Jupyter Notebooks) will be considered a plus.
• Education and experience: Bachelor’s Degree with 15 years of relevant experience. An associate’s degree with 17 years may be considered for individuals with in-depth experience clearly related to the position.
• Degree requirements: Bachelor’s Degree in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science (or a related field such as Computer Information Systems or Engineering). Related physical/hard sciences (e.g., physics, chemistry, biology, astronomy) or other science disciplines with a substantial computational component may be considered if included coursework concentration is present.
• A broader range of degrees may be considered if accompanied by a Certificate in Data Science from an accredited college or university.
• Relevant experience areas: designing/implementing machine learning and advanced analytical algorithms; programming (at least one high-level language such as Python); statistical analysis (variability, sampling error, inference, hypothesis testing, EDA, linear models); data management (cleaning and transformation); data mining; data modeling and assessment; artificial intelligence; and/or software engineering.
• Requires active Security Clearance with appropriate Polygraph.

Required / Preferred Technologies

• Python, PySpark
• R, SQL, Scala
• PyTorch, TensorFlow, Scikit-Learn
• RAG, prompt engineering, LoRa
• LangChain, LlamaIndex, Hugging Face Transformers
• Vector databases
• Tableau, Seaborn, Matplotlib, Plotly
• Git, Docker, Kubernetes, Jupyter Notebooks

Location and Compensation

• Location: Maryland (onsite)
• Pay range: USD 211,000 - 266,000 per year

Benefits

• Healthcare coverage via CareFirst: three (3) healthcare options with 100% or majority company-paid premiums; tax-advantaged health savings account with generous employer contribution; Dental + Vision 100% employer-paid for employees and family with a buy-up option.
• 401K: 10% total contribution (5% safe harbor + 5% annual profit share), both immediately vested.
• Paid time off: 4 weeks starting PTO; 11 federal holidays + 2 floating holidays; paid hours for company-required training.
• Learning support: FREE 24/7 access to Udemy; $7,500 annual Educational & Professional Development Assistance.
• Paid parental leave; flexible work schedules; generous referral bonus program; employee appreciation and family-friendly corporate events.