Associate Data Scientist
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Job Description
Requirements
- BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with three (3) 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 one (1) year of experience; or PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline.
- 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
About Carnegie Mellon University
Carnegie Mellon University
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