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Entry Level Chemical Engineering Data Science Jobs

Solid understanding of chemical engineering principles and processes * Proficiency in using industry-standard software for data analysis and simulation * Strong analytical and problem-solving skills

Solid understanding of chemical engineering principles and processes * Proficiency in using industry-standard software for data analysis and simulation * Strong analytical and problem-solving skills

The selected candidate will be expected to conduct laboratory experimentation, data compilation and ... A Work Environment Where You Succeed For brilliant minds in science, technology, engineering and ...

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Entry Level Chemical Engineering Data Science information

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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:
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.
Business Analyst / Data Science

Business Analyst / Data Science

SynergisticIT

Minneapolis, MN • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

For more than 14 years Synergisticit has helped Jobseekers stand out from other Jobseekers by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. Here at SynergisticIT We just don't focus on getting you a tech Job we make careers.
In this market also our candidates get multiple job offers and $100k + salaries.
please check the below links :
https://www.synergisticit.com/candidate-outcomes/
https://synergisticit.wistia.com/medias/o5gmv7i9eu
https://www.youtube.com/playlist?list=PLJgkOBQ51j5AHT5I6n29glr0q6trzkxYD
https://synergisticit.wistia.com/medias/k6t6a1n4kb
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
All Positions are open for all visas and US citizens
We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few.
Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
We assist in filing for STEM extension and also for H1b and Green card filing to Candidates
We want Data Science/Machine learning/Data Analyst and Java Full stack candidates
For data Science/Machine learning Positions
REQUIRED SKILLS
Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
Project work on the technologies needed
Highly motivated, self-learner, and technically inquisitive
Experience in programming language Java and understanding of the software development life cycle
Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools
Excellent written and verbal communication skills
Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow
REQUIRED SKILLS For Java /Full stack/Software Positions
Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
Highly motivated, self-learner, and technically inquisitive
Experience in programming language Java and understanding of the software development life cycle
Project work on the skills
Knowledge of Core Java , javascript , C++ or software programming
Spring boot, Microservices, Docker, Jenkins and REST API's experience
Excellent written and verbal communication skills
If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements.
No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates