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Associate Data Scientist

Carnegie Mellon University
Pittsburgh, USA
Full-time
Mid
Onsite
Discovered 1 weeks ago
bigquerydatabricksfastapijaxlangchainmatlab

Full Job Posting

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.
  • Click here to view a listing of employee benefits
  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
  • Statement of Assurance

Qualifications

  • 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.
  • 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
  • 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)
  • Demonstrated ability to learn new concepts and grow into new areas of work
  • Joining the CMU team opens the door to an array of exceptional benefits.
  • 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.
  • At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.
  • Are you interested in an exciting opportunity with an exceptional organization?! Apply today!
  • Location
  • Arlington, VA, Pittsburgh, PA
  • Job Function
  • Software/Applications Development/Engineering
  • Position Type
  • Staff – Regular
  • Full Time/Part time
  • Full time
  • Pay Basis
  • Salary
  • Please visit “ Why Carnegie Mellon ” to learn more about becoming part of an institution inspiring innovations that change the world.
  • Click here to view a listing of employee benefits
  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
  • Statement of Assurance

Preferred Qualifications

  • 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

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