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Chemical Engineering Data Science Jobs (NOW HIRING)

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Strong foundation in Python programming in a cloud environment. * Strong quantitative abilities ...

Addison Group

Chemical Engineering Analyst

Sardis, MS · On-site

$50K - $70K/yr

Chemical Engineering Analyst Location: Sardis, MS Base Salary: $50,000-$70,000. Company Overview ... This role will drive process optimization, equipment validation, data analysis, and innovation ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

$110 - $170/hr

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Strong foundation in Python programming in a cloud environment. * Strong quantitative abilities ...

CycloKinetics

Chemical Engineer L1

Salt Lake City, UT · On-site

We are a team of engineers, scientists, and operators driven by performance, innovation, and ... Compile and analyze test data to assess operating efficiency or diagnose malfunctions * Prepare ...

Addison Group

Chemical Engineering Analyst

Sardis, MS · On-site

$50K - $70K/yr

Chemical Engineering Analyst Location: Sardis, MS Base Salary: $50,000-$70,000. Company Overview ... This role will drive process optimization, equipment validation, data analysis, and innovation ...

Addison Group

Chemical Engineering Analyst

Sardis, MS · On-site

$50K - $70K/yr

Chemical Engineering Analyst Location: Sardis, MS Base Salary: $50,000-$70,000. Company Overview ... This role will drive process optimization, equipment validation, data analysis, and innovation ...

CycloKinetics

Chemical Engineer L2

Salt Lake City, UT · On-site

... data, in accordance with company guidelines on documentation, storage, and control. * Stay current with industry trends and emerging technologies in chemical engineering, materials science, and ...

Monument Chemical

Chemical Engineering Intern

Houston, TX

$16 - $20.75/hr

Collect, analyze and interpret detailed unit operations data to troubleshoot and optimize operating ... Must have completed junior level chemical engineering or chemistry classes * Minimum 3.0 GPA ...

Monument Chemical

Chemical Engineering Intern

Houston, TX · On-site

$16 - $20.75/hr

Collect, analyze and interpret detailed unit operations data to troubleshoot and optimize operating ... Must have completed junior level chemical engineering or chemistry classes * Minimum 3.0 GPA ...

Jacobs Engineering Group Inc.

$75 - $113/hr

Chemical Engineering Professional Intermediate At Jacobs, we\'re challenging today to reinvent ... scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that ...

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Chemical Engineering Data Science information

What is a chemical engineering data science?

A Chemical Engineering Data Science job combines chemical engineering principles with data science techniques to analyze and optimize chemical processes. Professionals in this field work with large datasets, machine learning models, and statistical methods to improve efficiency, reduce costs, and enhance safety in industries such as pharmaceuticals, energy, and materials. They may develop predictive models, conduct simulations, and implement AI-driven solutions to solve complex engineering challenges. This role requires expertise in programming, data analytics, and chemical process understanding to drive data-informed decision-making.

What does a chemical engineering data science do?

Professionals in Chemical Engineering Data Science typically spend their days collecting and cleaning process data, developing data models to predict or optimize chemical operations, and interpreting analytical results to improve production efficiency or product quality. They often use specialized software to simulate chemical processes and collaborate closely with engineers, plant operators, and IT professionals to implement data-driven solutions. Regular tasks may also include creating reports and data visualizations, troubleshooting data quality issues, and supporting digital transformation projects within manufacturing environments. The role is dynamic and requires continual learning as new tools and methodologies emerge, making strong communication skills and adaptability especially important.

What are the key skills and qualifications needed to thrive in chemical engineering data science?

To succeed in Chemical Engineering Data Science, you need a strong background in chemical engineering principles, statistical analysis, and programming (usually with Python, R, or MATLAB), often supported by a degree in chemical engineering or data science. Familiarity with machine learning algorithms, process simulation software (like Aspen Plus or HYSYS), and data visualization tools is highly valuable, and certifications in data analytics or Six Sigma can be advantageous. Strong analytical thinking, problem-solving, and effective communication skills help you interpret data-driven insights and collaborate with multidisciplinary teams. These competencies are essential for solving complex engineering problems, optimizing processes, and delivering actionable results in data-intensive chemical industry settings.

Can a chemical engineering data scientist become a data scientist?

A chemical engineering data scientist can become a data scientist by expanding their skills in programming, statistics, and machine learning, which are essential for general data science roles. Their domain expertise can be an advantage in industries like energy, pharmaceuticals, or manufacturing, but they may need additional training or certifications in data science tools such as Python, R, or SQL. Transitioning often involves gaining experience with broader data analysis techniques and project management skills common in data science positions.
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Chemical Engineering Data Science jobs near you
Infographic showing various Chemical Engineering Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Science

Adidev Technologies Inc

San Francisco, CA • Remote

Full-time

Re-posted 17 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)

Employment Type: FULL_TIME

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