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Associate Data Scientist Deep Learning Jobs in Pennsylvania

Associate Data Scientist

Pittsburgh, PA · On-site

$57K - $57K/yr

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 ...

Devising and applying state-of-the-art machine learning, deep learning, and modern AI techniques ... Ph.D. in Data Science, Computer Science, Engineering, Chemistry, Physics, or related field. * 5+ ...

Devising and applying state-of-the-art machine learning, deep learning, and modern AI techniques ... Ph.D. in Data Science, Computer Science, Engineering, Chemistry, Physics, or related field. * 5+ ...

Associate Data Review Scientist

Lancaster, PA

$57K - $57K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Eurofins Biopharmaceutical is looking for an Associate Scientist to support Data Review of our ... interested in learning both aspects within a lab setting. Employee Responsibilities and ...

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... data types. * Build andoptimizepredictive and generative models (e.g., deep learning, probabilistic models, foundation-model adaptation, graph/neural sequence models) to support synthesis research ...

Lead Data Scientist

Philadelphia, PA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data Scientists collaborate directly with the Business, Product, Data Engineering, DevOps and QA ... deep learning, GraphDB SVMs, time series forecasting etc. to build and evaluate models

Lead Data Scientist

Philadelphia, PA · On-site

$150K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data Scientists collaborate directly with the Business, Product, Data Engineering, DevOps and QA ... deep learning, GraphDB SVMs, time series forecasting etc. to build and evaluate models

Lead Data Scientist

Philadelphia, PA · On-site

$150K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data Scientists collaborate directly with the Business, Product, Data Engineering, DevOps and QA ... deep learning, GraphDB SVMs, time series forecasting etc. to build and evaluate models

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Showing results 1-20

Associate Data Scientist Deep Learning information

What is the difference between Associate Data Scientist Deep Learning vs Data Scientist?

AspectAssociate Data Scientist Deep LearningData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related; familiarity with deep learning frameworksBachelor's or Master's in CS, Statistics, or related; broader data analysis skills
Work EnvironmentFocus on developing deep learning models, often in AI or ML teamsBroader data analysis, visualization, and modeling across various projects
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, retail, tech, and more

The main difference is that Associate Data Scientist Deep Learning specializes in developing deep learning models, requiring specific knowledge of neural networks and frameworks. Data Scientists have a broader scope, including traditional data analysis, statistical modeling, and visualization. Both roles often require similar educational backgrounds but differ in technical focus and project types.

What are the most commonly searched types of Data Scientist Deep Learning jobs in Pennsylvania?

The most popular types of Data Scientist Deep Learning jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Associate Data Scientist Deep Learning jobs?

Cities in Pennsylvania with the most Associate Data Scientist Deep Learning job openings:

Associate Data Scientist

Software Engineering Institute

Pittsburgh, PA • On-site

$57K - $57K/yr

Full-time

Re-posted 10 days ago


Job description

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.
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. 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!
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
SalaryMore 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