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Manufacturing Data Science Jobs (NOW HIRING)

Electra

Principal Data Scientist

Boulder, CO · On-site

$175K - $215K/yr

Proven track record delivering high-impact data science solutions in product development, reliability, test engineering, or other complex physical systems (e.g., energy, manufacturing, industrial ...

Electra

Principal Data Scientist

Boulder, CO

$175K - $215K/yr

Proven track record delivering highimpact data science solutions in product development, reliability, test engineering, or other complex physical systems (e.g., energy, manufacturing, industrial ...

ASK Consulting

MSAT Scientist III (277167)

Portsmouth, NH · On-site

$24 - $28/hr

Perform hands‐on work in cleanroom and controlled manufacturing environments What We're Looking For: * Bachelor's degree is desirable for this role, preferably in a laboratory science. * Data ...

Crusoe

Senior Data Scientist

Sunnyvale, CA · On-site

... energy, manufacturing, data center construction, and cloud services. If you want to do the most ... As an early hire on the data science team, you'll be expected to act autonomously to drive forward ...

Crusoe

Senior Data Scientist

San Francisco, CA · On-site

... energy, manufacturing, data center construction, and cloud services. If you want to do the most ... As an early hire on the data science team, you'll be expected to act autonomously to drive forward ...

Elanco

Senior Director-Data Science

Indianapolis, IN · On-site

Partner with IT, R&D, Manufacturing, Supply Chain, Commercial, and Finance to integrate data science solutions into core business processes. * Governance : Ensure all data science activities comply ...

Crusoe

Senior Data Scientist

San Francisco, CA · On-site

... energy, manufacturing, data center construction, and cloud services. If you want to do the most ... As an early hire on the data science team, you'll be expected to act autonomously to drive forward ...

Crusoe

Senior Data Scientist

San Francisco, CA

... energy, manufacturing, data center construction, and cloud services. If you want to do the most ... As an early hire on the data science team, you'll be expected to act autonomously to drive forward ...

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All JobsManufacturing Data Science Jobs

Manufacturing Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do manufacturing data science jobs pay per year?

As of Jun 3, 2026, the average yearly pay for manufacturing data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.
Data Science Specialist

Data Science Specialist

Adidev Technologies Inc

Manhattan, NY • Remote

Other

Posted 12 days ago

Job description

Adidev Technologies Inc
www.adidevtechnologies.com
URGENT HIRE - HIRING PROCESS - 24-48 HOURS!
Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.
If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.
Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly
Job Description
  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline
Must have
  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)
QUALIFICATIONS
  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred
  • At least 2 yrs of relevant experience in Data Science
SKILLS
  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse
Benefits
  • Competitive Salary
  • Paid Relocation
  • Remote Support
  • Guaranteed Regular Salary Reviews
  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

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