- Company Name
- NR Labs
- Job Title
- Data Scientist
- Job Description
-
Job title: Data Scientist
Role Summary: Develop and deploy machine‑learning models, automate cybersecurity workflows, and produce actionable analytics for threat detection, risk management, and operational optimization. Leverage advanced analytics tools to transform large security datasets into insights and dashboards that guide decision‑making across security operations.
Expectations: Deliver end‑to‑end AI/ML solutions (design, training, deployment, monitoring) that enhance threat identification, anomaly scoring, and predictive security modeling. Automate routine security tasks, integrate cross‑system APIs, and maintain high‑quality data pipelines under tight deadlines and evolving security requirements.
Key Responsibilities:
- Design, implement, and maintain dynamic dashboards in Power BI and equivalent tools to visualize trends, risks, and operational performance.
- Develop, train, and deploy scalable ML models (classification, regression, anomaly detection, NLP, forecasting) for cybersecurity use cases.
- Automate security workflows (control assessments, POA&M tracking, incident response, risk scoring) using Python, Selenium, and REST/GraphQL APIs.
- Build and optimize ETL pipelines and data ingestion processes for real‑time and batch analytics across SQL/NoSQL environments.
- Conduct threat hunting by correlating SIEM, EDR, firewall, and network telemetry data; create detections and automation workflows.
- Govern data quality, documentation, and reproducibility across analytics workflows.
- Collaborate with cybersecurity, engineering, IT operations, and program management stakeholders to align analytics solutions with business objectives.
Required Skills:
- **Programming:** Python (preferred) or R; strong skills in data retrieval, transformation, modeling, automation, and ETL.
- **ML Frameworks:** Scikit‑learn, TensorFlow, PyTorch, or equivalent for model development.
- **Automation & APIs:** Design, consume, and automate REST/GraphQL APIs; Selenium for browser automation.
- **Security Analytics:** Hands‑on SIEM analysis, Splunk search creation, EDR/network log correlation.
- **Data Visualization:** Power BI (DAX, Power Query); ability to build interactive analytics products.
- **Data Engineering:** Build automated pipelines, optimize large datasets; experience with SQL and NoSQL databases.
- **Analytical:** Statistical analysis, data mining, predictive modeling, performance evaluation.
- **Professional:** Strong problem‑solving in high‑sensitivity security environments; eagerness to learn cybersecurity concepts and emerging AI/automation technologies.
Required Education & Certifications:
- Bachelor’s degree in Data Science, Computer Science, Statistics, Information Technology, Cybersecurity, or related quantitative field (advanced degrees preferred).
- 2+ years of relevant experience in data science, analytics, ML engineering, or cybersecurity analytics.
- Eligibility for Public Trust clearance.
Washington dc-baltimore, United states
Hybrid
Junior
18-11-2025