Senior Data Scientist

Software Engineering Institute | Carnegie Mellon University; Arlington (VA); Sur place; USD 140 000 - 220 000; Plein temps

Résumé du poste

Carnegie Mellon University’s SEI in Arlington, VA (and Pittsburgh, PA) seeks a senior data scientist to apply advanced statistics, ML, and AI to national cybersecurity challenges. You will collaborate with government and industry clients, identify high-impact problems, develop prototypes, and contribute to final products.

Responsibilities include co-authoring research proposals, executing studies, presenting findings at DoW-sponsored and academic venues, and maintaining a focus on rigorous

Qualifications

• BS/MS/PhD in a highly-quantitative field with years of experience as outlined.
• Willingness to travel modestly to support SEI’s mission.
• Must be able to obtain and maintain a U.S. Department of War security clearance.

Responsabilités

• Identify areas where advanced statistical techniques can help tackle problems.
• Plan and develop prototype solutions, and build final products.
• Co-author research proposals, execute studies, and present findings to sponsors and at conferences.

Connaissances

Predictive modeling

Statistical analysis

Python/R

ML frameworks

Communication skills

NLP/LLMs

Model deployment

Big data

Formation

BS in Data Science

MS in Data Science

PhD in Data Science

Outils

Python

R

MATLAB

Spark

BigQuery

TensorFlow

PyTorch

SQL

Description du poste

What We Do

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity challenges. In this role, you will work with our customers to identify areas where advanced statistical techniques can help tackle problems, plan and develop prototype solutions, and build out final products. You'll get a chance to work with elite cybersecurity professionals and university faculty to build new technologies that will influence national cybersecurity strategy for decades to come. You will co-author research proposals, execute studies, and present findings to DoW sponsors and at academic conferences.

Requirements

• 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 War security clearance.

Knowledge, Skills And Abilities

• 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)

Desired Experience

• Experience in cybersecurity and privacy is a plus is a plus
• Experience in U.S. Government work and/or with FFRDCs, UARCs an National Labs is a plus
• Demonstrated ability to learn new concepts and grow into new areas of work

Location

Arlington, VA, Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full time/Part time

Full time

Pay Basis

Salary

More Information

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance