Cmu

Cmu

Senior Data Scientist

Pittsburgh, PA, USA · Senior · Part-time

Sponsorship not specifiedDetected 2 days ago
PythonMATLABFastAPIBigQuerySnowflakeDatabricksMachine LearningTensorFlowPyTorchPandasNumPySparkData AnalysisData ScienceNLPComputer VisionLLMsRAGAgentic AIStatisticsCybersecurityForecastingResearchCommunication

About the role

  • You will co-author research proposals, execute studies, and present findings to DoW sponsors and at academic conferences.
  • Our team works on a wide range of projects.
  • Our current work includes research in generative AI and large language models, computer vision, multimodal AI, agentic AI, and assurance of AI systems.

Requirements

  • 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:
  • Expertise in one or more of the following:
  • Demonstrated ability to learn new concepts and grow into new areas of work

Nice to have

  • 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

Skills

  • 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
  • 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
  • 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)

Compensation

  • Salary More Information:

Benefits

  • eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions.
  • Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.
  • Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!
  • For a comprehensive overview of the benefits available, explore our Benefits page.
  • Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training.

Company info

  • 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.
  • Additionally, we craft metrics and experimental designs for large-scale cybersecurity research programs, develop human-in-the-loop machine learning solutions, and build classifiers to identify security vulnerabilities.
  • If you are a data science or statistics expert with an interest in cybersecurity, we want to hear from you!
  • At Carnegie Mellon, we value the whole package when extending offers of employment.

Visa & Work Authorization

  • Department of War security clearance

This listing is sourced directly from Cmu's careers page and normalized into a canonical job model.