Senior Data Scientist

Carnegie Mellon University

Senior Data Scientist utilizing advanced analytics and AI to address cybersecurity challenges. Collaborating with elite professionals and researchers at Carnegie Mellon University for impactful solutions.

Posted 7/17/2026full-timeArlington • Pennsylvania, Virginia • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in advanced statistics, data analytics, and machine learning to address cybersecurity challenges, with a strong foundation in statistical modeling and programming. Capable of developing innovative solutions and presenting findings to diverse audiences.

Highest-signal resume keywords

Advanced StatisticsMachine LearningData AnalyticsStatistical Modeling TechniquesPredictive Modeling

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ScienceArtificial IntelligenceStatistical Programming (R, Python)Experimental DesignClassifier DevelopmentGenerative AINatural Language ProcessingTime-Series ForecastingCausal InferenceBig Data Technologies

Soft Skills

Strong Communication SkillsInnovative ThinkingInquisitive NatureCollaboration in Multi-Disciplinary Environments

Tools & Technologies

MATLABLightGBMXGBoostPyTorchTensorFlowFastAPISageMakerSparkDatabricksSnowflake

Certifications & Qualifications

U.S. Department of War Security Clearance

Industry Keywords

CybersecurityResearch ProposalsAcademic ConferencesHuman-in-the-Loop Machine LearningAI Systems Assurance

Tech Stack

Tools & technologies

BigQueryCyber SecurityNumpyPandasPythonPyTorchSparkTensorflow

About the role

Key responsibilities & impact

use advanced statistics, data analytics, machine learning, and artificial intelligence to help government and industry clients research and solve cybersecurity challenges
work with customers to identify areas where advanced statistical techniques can help tackle problems
plan and develop prototype solutions and build out final products
co-author research proposals, execute studies, and present findings to DoW sponsors and at academic conferences
engage in research in generative AI and large language models, computer vision, multimodal AI, agentic AI, and assurance of AI systems
craft metrics and experimental designs for large-scale cybersecurity research programs
develop human-in-the-loop machine learning solutions
build classifiers to identify security vulnerabilities

Requirements

What you’ll need

BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with ten (10) years of experience or equivalent combination of training or experience
or MS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with eight (8) years of experience
or PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with five (5) years of experience
willing to complete modest travel to various locations to support the SEI’s overall mission
subject to background check and must be able obtain and maintain a U.S. Department of War security clearance
experience in predictive modeling, data science, and/or AI & machine learning
deep understanding of statistical modeling techniques and advanced data analytics
proficient with at least one mathematical/statistical programming package (e.g., R, python numpy/scipy/pandas/polars, MATLAB)
innovative and inquisitive with ability to imagine novel analytical solutions to problems
thrives in a multi-disciplinary environment
strong communication skills
expertise in one or more of the following: Recommendation systems, Time-series forecasting (Prophet, NeuralProphet, Chronos, Lag-Llama), NLP / LLMs (fine-tuning, RAG, evaluation, prompt engineering), Causal inference / uplift modeling / synthetic controls, Modern ML frameworks (LightGBM/XGBoost, CatBoost, PyTorch, JAX, TensorFlow), LLMs / agentic workflows (LangChain/LlamaIndex/Haystack), deploying models (FastAPI, Triton, KServe, SageMaker, Vertex AI), working with big data (Spark, Trino, Snowflake, BigQuery, Databricks)

Benefits

Comp & perks

comprehensive medical, prescription, dental, and vision insurance
generous retirement savings program with employer contributions
tuition benefits
ample paid time off and observed holidays
life and accidental death and disability insurance
free Pittsburgh Regional Transit bus pass
access to Family Concierge Team for childcare needs
fitness center access