Senior Data Scientist, AI-Driven Cybersecurity

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 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.