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Contractual Computer Science Statistics Jobs in Pennsylvania

Cmu

Data Scientist

Pittsburgh, PA · On-site

Requirements: * BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with eight (8) years of experience or equivalent combination of training ...

Cmu

Senior Data Scientist

Pittsburgh, PA · On-site

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 ...

Cmu

Associate Data Scientist

Pittsburgh, PA

$57K - $57K/yr

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 ...

Becton, Dickinson and Company

A minimum of a Bachelor's degree required in Statistics, Computer Science, or Life Sciences or related field. Equivalent education or experience will be considered. * Demonstrated competence in the ...

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Contractual Computer Science Statistics information

What is the difference between Contractual Computer Science Statistics vs Data Analyst?

AspectContractual Computer Science StatisticsData Analyst
Required CredentialsBachelor's or higher in Computer Science, Statistics, or related fields; certifications like SAS, R, or PythonBachelor's in Statistics, Data Science, or related fields; certifications like Excel, SQL, or Tableau
Work EnvironmentProject-based, often contract roles in tech, finance, or research sectorsOffice or remote, analyzing data to inform business decisions across industries
Employer & Industry UsageTech companies, research institutions, consulting firmsBusiness, healthcare, marketing, finance

Contractual Computer Science Statistics professionals focus on applying statistical methods within computer science projects, often on a contractual basis, while Data Analysts interpret data to support business strategies. Both roles require similar technical skills but differ in scope and industry application.

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Data Scientist

Software Engineering Institute | Carnegie Mellon University

Pittsburgh, PA • On-site

Full-time

Re-posted 13 hours ago

Job description

Job Summary:
Carnegie Mellon University's Software Engineering Institute is seeking a Data Scientist to leverage advanced statistics, data analytics, machine learning, and artificial intelligence to address cybersecurity challenges. The role involves collaborating with clients to develop prototype solutions, conducting research, and presenting findings at conferences.
Responsibilities:
• 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 and present findings to DoW sponsors and at academic conferences.
Qualifications:
Required:
• BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with eight (8) 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 five (5) years of experience; or PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with two (2) 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.
• 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:
We conduct cutting-edge research and development that accelerates the transition of technology to the Department of War (DoW), delivering measurable impact in support of the national security mission. Founded in 1984, the company is headquartered in Pittsburgh, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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