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Entry Level Chemical Engineering Data Science Jobs

Domtar

Chemical Entry Level Engineer

Hawesville, KY · On-site

Decipher data, apply findings into project recommendations, and revise project plans/drawings ... Desired major include Chemical or Paper Science Engineering. Minimum GPA of 3.0. Proficient with ...

Buckman

Digital Innovation Engineer

Memphis, TN · On-site

$121K/yr

S. or equivalent experience in Computer Science, Chemical Engineering, Electrical Engineering ... Data Engineering - Relational and NoSQL data, Data visualization tools such as Power BI, streaming ...

Apply Early

Buckman

Digital Innovation Engineer

Memphis, TN

$121K/yr

S. or equivalent experience in Computer Science, Chemical Engineering, Electrical Engineering ... Data Engineering - Relational and NoSQL data, Data visualization tools such as Power BI, streaming ...

Buckman

Digital Innovation Engineer

Memphis, TN · On-site

$132K/yr

S. or equivalent experience in Computer Science, Chemical Engineering, Electrical Engineering ... Data Engineering - Relational and NoSQL data, Data visualization tools such as Power BI, streaming ...

Buckman

Digital Innovation Engineer

Memphis, TN · On-site

$132K/yr

S. or equivalent experience in Computer Science, Chemical Engineering, Electrical Engineering ... Data Engineering - Relational and NoSQL data, Data visualization tools such as Power BI, streaming ...

Buckman

Digital Innovation Engineer

Memphis, TN · On-site

$132K/yr

S. or equivalent experience in Computer Science, Chemical Engineering, Electrical Engineering ... Data Engineering - Relational and NoSQL data, Data visualization tools such as Power BI, streaming ...

Buckman

Digital Innovation Engineer

Memphis, TN

$132K/yr

S. or equivalent experience in Computer Science, Chemical Engineering, Electrical Engineering ... Data Engineering - Relational and NoSQL data, Data visualization tools such as Power BI, streaming ...

Mariana Minerals

Chemical Engineering Intern

Moab, UT · On-site

$16.75 - $22/hr

We're reimagining the minerals supply chain by combining deep industry expertise with advanced software, automation, and data-driven decision-making. The Role We are hiring a Chemical Engineering ...

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How much do entry level chemical engineering data science jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for entry level chemical engineering data science in the United States is $19.47, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, depending on experience, location, and employer.

How do entry-level chemical engineering data scientists typically collaborate with other departments in a company?

Entry-level chemical engineering data scientists often work closely with process engineers, production teams, and IT specialists to gather and analyze operational data. Collaboration is key when developing data-driven models to optimize manufacturing processes or improve product quality. You may also be involved in cross-functional meetings to present findings and translate technical results for non-technical stakeholders, ensuring that your insights lead to actionable improvements. This collaborative approach helps you build strong professional relationships and gain a holistic understanding of the business.

Is it possible to get a data science job with no experience?

Entry level data science positions, including those related to chemical engineering data analysis, often accept candidates with limited or no professional experience if they have relevant skills such as programming, statistics, and data visualization. Building a strong portfolio through projects, certifications, or internships can improve chances, but some roles may require foundational knowledge or related coursework.

What is an entry level chemical engineering data scientist?

An entry level chemical engineering data scientist is a professional who applies data science techniques to solve problems in chemical engineering, often working with large sets of experimental or process data. They use tools like Python, R, or MATLAB to analyze data, build predictive models, and optimize chemical processes. Typically, they collaborate with engineers and researchers to improve product quality, efficiency, and safety. This role is ideal for recent graduates with backgrounds in chemical engineering and strong analytical skills.

What engineers make $500,000?

Highly experienced engineers in specialized fields such as petroleum, aerospace, or software engineering can reach or exceed $500,000 annually, often through a combination of base salary, bonuses, and stock options. Senior roles requiring advanced skills, certifications, and leadership responsibilities are more likely to achieve this level of compensation.

What is the difference between Entry Level Chemical Engineering Data Science vs Entry Level Chemical Engineering?

AspectEntry Level Chemical Engineering Data ScienceEntry Level Chemical Engineering
Required CredentialsBachelor's in Chemical Engineering, Data Science, or related field; basic programming skillsBachelor's in Chemical Engineering; foundational engineering knowledge
Work EnvironmentData analysis, modeling, software tools, collaborative teamsProcess design, plant operations, laboratory work
Industry UsageData-driven decision making in chemical processes, optimizationProcess engineering, safety, manufacturing
Common Search/ComparisonYesYes

Entry Level Chemical Engineering Data Science focuses on applying data analysis and programming skills to chemical engineering problems, often working with software and modeling. In contrast, Entry Level Chemical Engineering emphasizes traditional engineering tasks like process design and plant operations. Both roles require a chemical engineering degree but differ in skill sets and daily activities, catering to different career interests within the industry.

Can a chemical engineer become a data scientist?

Yes, a chemical engineer can become a data scientist by developing skills in programming, statistics, and machine learning, often through additional training or certifications. Their strong analytical background and experience with process data can be valuable in data science roles across various industries.

Is 40 too late for data science?

For an entry-level chemical engineering data science role, starting a career at age 40 is feasible, especially if you have relevant skills such as programming, statistical analysis, and knowledge of data tools. Many employers value experience and diverse backgrounds, and continuous learning through online courses or certifications can help you transition into the field at any age.

What are the key skills and qualifications needed to thrive as an Entry Level Chemical Engineering Data Scientist, and why are they important?

To thrive as an Entry Level Chemical Engineering Data Scientist, you need a solid background in chemical engineering principles, data analysis, and statistics, typically supported by a relevant bachelor's degree. Familiarity with programming languages like Python or R, data visualization tools, and experience with machine learning libraries such as scikit-learn or TensorFlow are commonly required. Strong problem-solving abilities, effective communication, and collaborative teamwork are crucial soft skills for this interdisciplinary role. These skills enable you to translate complex data into actionable engineering insights, driving innovation and efficiency in chemical processes.
More about Entry Level Chemical Engineering Data Science jobs
What cities are hiring for Entry Level Chemical Engineering Data Science jobs? Cities with the most Entry Level Chemical Engineering Data Science job openings:
What are the most commonly searched types of Chemical Engineering Data Science jobs? The most popular types of Chemical Engineering Data Science jobs are:
What job categories do people searching Entry Level Chemical Engineering Data Science jobs look for? The top searched job categories for Entry Level Chemical Engineering Data Science jobs are:
Entry Level Chemical Engineering Data Science jobs near you
Infographic showing various Entry Level Chemical Engineering Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $40,504 per year, or $19.5 per hour.
R&D Data Scientist

R&D Data Scientist

Hexcel Corporation

Salt Lake City, UT • On-site

Full-time

Posted 6 days ago

Hexcel rating

7.5

Company rating: 7.5 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

Job description

With our strong investment in research and development and our culture of continuous improvement, Hexcel is the industry leader in the manufacturing of composite materials and industrial fabrics. We invite you to join the Hexcel team at various manufacturing sites, sales offices, and research and technology centers around the globe.Become a part of the "strength within."

Hexcel is currently seeking aResearch and Development Data Scientistfor ourSalt Lake City, UT, USA

The selected individual will be responsible for but not limited to the following obligations:

  • Develop, validate, and maintain digital twin models of key processes using machine learning and physics-informed or statistical approaches.
  • Collect, preprocess, and analyze large and complex datasets to extract actionable insights supporting process and product development efforts.
  • Design and implement advanced data science and AI solutions to optimize process performance, improve product quality, and accelerate innovation.
  • Work in cross-functional teams of scientists, technicians, and engineers in product design and development programs.
  • Translate analytical findings into practical recommendations and support the implementation of data-driven improvements across cross-functional teams.
  • Supports design and experiments (DOE) and active learning strategies at lab, pilot and production scale.
  • Monitor model performance and continuously refine algorithms and data pipelines to ensure accuracy, robustness, and scalability in production environments.

Qualifications:

  • Master's degree in data science; bachelor's degree in materials science, chemistry, chemical engineering, or related field.
  • Minimum of 2 years of experience in industrial setting, preferably with demonstrated experience applying machine learning and advanced analytics to real-world problems.
  • Proven ability to develop and implement digital twin and other models for processes or systems using machine learning and traditional modeling techniques. Experience working with mathematical modeling of physical systems a plus.
  • Experience working closely with product development teams to translate technical insights into actionable improvements in process and product performance. Working knowledge of DOE (Design of Experiments) and other active learning methods.
  • Proficiency in data preprocessing and data cleaning techniques, including handling large, complex, and noisy datasets.
  • Demonstrated ability to apply state-of-the-art methods in data science and AI to support process optimization, product innovation, and decision-making.
  • Strong programming skills in languages such as Python or R, with experience using relevant data science techniques
  • Experience with Microsoft's technology stack and the Azure digital toolset
  • Experience with multiple large and small language models including models designed for optimized chemical compositions preferred.

Eligible candidates must be a: U.S. citizen, U.S. national, person lawfully admitted for permanent residence, temporary resident under sections 210(a) or 245(A) of the Immigration and Nationality Act, person admitted in refugee status, or person granted asylum. Hexcel (NYSE: HXL) is a global leader in advanced composites technology, a leading producer of carbon fiber, and the world leader in honeycomb manufacturing for the commercial aerospace industry.

Hexcel is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, physical or mental disability, status as a protected veteran, or any other protected class.

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