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Software Engineering Institute | Carnegie Mellon University · 21 hours ago

Senior Data Scientist

Pittsburgh, PA

Full-time

Hybrid

Senior Level

5+ years exp

The Software Engineering Institute at Carnegie Mellon University is seeking a Senior Data Scientist to leverage advanced statistical techniques and machine learning for cybersecurity challenges. This role involves collaborating with government and industry clients to develop innovative solutions and contribute to impactful research in the field.

ComputerCyber SecurityEducationSoftware

Comp. & Benefits

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Work with customers to identify areas where advanced statistical techniques can help tackle problems

Plan and develop prototype solutions

Build out final products

Co-author research proposals

Execute studies

Present findings to DoD sponsors and at academic conferences

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

Qualification

Predictive modelingStatistical modelingMachine learningData analyticsPythonRNLP / LLMsBig dataInnovative thinkingCommunication

Required

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

Willingness to complete modest travel to various locations to support the SEI's overall mission

You will be subject to a background check and must be able obtain and maintain a U.S. Department of Defense 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, etc.)

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, etc.), 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), Experience deploying models (FastAPI, Triton, KServe, SageMaker, Vertex AI, or similar), Experience working with big data (Spark, Trino, Snowflake, BigQuery, Databricks)

Preferred

Experience in cybersecurity and privacy is a plus

Experience in U.S. Government work and/or with FFRDCs, UARCs and National Labs is a plus

Demonstrated ability to learn new concepts and grow into new areas of work

Company

Software Engineering Institute | Carnegie Mellon University

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At the SEI, we research complex software engineering, cybersecurity, and AI engineering problems; create and test innovative technologies; and transition maturing solutions into practice.

Founded in 1984

Pittsburgh, Pennsylvania, USA

501-1000 employees