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Entry Level Chemical Engineering Data Science Jobs

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 ...

BWX Technologies

Engineering Data Scientist

Lynchburg, VA · On-site +1

$62K - $97K/yr

A Bachelor's degree in a Science or Engineering field (e.g. mechanical, nuclear, electrical, computer) is required, with a concentration in or project experience with data science techniques. * A ...

BWX Technologies

Engineering Data Scientist

Lynchburg, VA · On-site +1

$62K - $97K/yr

A Bachelor's degree in a Science or Engineering field (e.g. mechanical, nuclear, electrical, computer) is required, with a concentration in or project experience with data science techniques. * A ...

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 ...

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 ...

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 ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

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 ...

Techforce

CHEMICAL ENGINEER

San Antonio, TX

Company Description SCIENCE AND RESEARCH Description of Job Duties: Process data compilations and ... S. Chemical Engineering or similar. Familiarity with computer software and especially excel and ...

Techforce

CHEMICAL ENGINEER

San Antonio, TX · On-site

Company Description SCIENCE AND RESEARCH Description of Job Duties: Process data compilations and ... S. Chemical Engineering or similar. Familiarity with computer software and especially excel 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:
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.

Digital Innovation Engineer

Digital Innovation Engineer - Chemical Engineer at buckman | Hirebase

Memphis, TN

$132K/yr

Other

Posted 15 days ago

Job description

Description
Digital Innovation Engineer
Buckman - Memphis, TN
 
Location: Memphis, TN
Language: English
Travel: None
 
Buckman is a privately held, global specialty chemical company with headquarters in Memphis, TN, USA, committed to safeguarding the environment, maintaining safety in the workplace, and promoting sustainable development. Buckman delivers exceptional service and innovative solutions to our customers globally in the pulp and paper, leather, and water treatment sectors to help boost productivity, reduce risk, improve product quality, and provide a measurable return on investment.  
 
Position Summary 
Contributes to the success of Buckman's digital strategy by collaborating with the digital team, stakeholders and external partners on initiatives and successfully completing work on regional/global projects.
 
Key Outcomes/Responsibilities
Successfully completes work to support the completion of complex global digital projects that positively impact the customer experience and increase the adoption of digital solutions.   
  • Serves as a technical leader (software and/or hardware) on at least one digital project ensuring technical problems and challenges are resolved. 
  • Completes aligned work throughout the entire life cycle of product development, including idea generation, rapid prototyping to develop MVP candidates, product development, and commercial deployment. 
  • Completes analyses and creates key documentation (e.g. project and resource plan) to support and advance the project during the phase gate process.
  • Works with external partners and reviews SOW technical documentation to ensure clarity and completeness. 
  • Delivers outcomes in one of these focus areas: sensor development, automation and controls, back end development , front end development, IoT development, data engineering, data analytics, mobile development, or data science.   
 
Supports and helps drive an innovative culture 
  • Suggests new and useful ideas or solutions.
  • Takes the initiative to learn innovative methods, tools, and technology and show others how they can be applied to work tasks.    
 
Aligns work with strategies   
  • Understands, buys-in and ensures alignment with Buckman 4.0 and the digital strategy.   
 
 
Collaborates effectively with the global digital team and with other departments, stakeholders and leaders
 
  • Works effectively with R&D partners, digital associates, Strategic Marketing and sales to deliver effective digital solutions. 
  • Ensures alignment and buy-in of digital direction with stakeholders and internal partners.
  • Understands the global digital ecosystem and learns to work productively across this ecosystem.  
 
For Digital Insights Lab Associates:  Performs key tasks in monitoring, troubleshooting and resolving sales associate problems/issues.
 
  • Resolves sales associate's questions or problems with the Ackumen platform (e.g., technical process questions, problem resolution with an account, how to complete a certain task). 
  • Monitors and triages Ackumen alarms for customer chemical usage and takes appropriate action as needed (resolution of problem, notification of sales associate to respond to issue). 
  • Responds and escalates service requests from sales associates to the appropriate tier of support. 
 
Basic Qualifications
  • B.S. or equivalent experience in Computer Science, Chemical Engineering, Electrical Engineering, Computer Engineering or related engineering / technical field plus 3 years experience
  • Demonstrates an understanding of the core concepts in one or more focus areas (sensor development, automation and controls, back end, front end, native application dev, data science, etc.) with some limited experience applying them to real world situations.  Plus, demonstrates in-depth knowledge in at least one focus area. 
  • M.S. (or equivalent experience) in in Chemical Engineering, Computer Science, Electrical Engineering, Computer Engineering or related engineering / technical field plus one year experience. 
  • Demonstrates an understanding of the core concepts in one or more focus areas (sensor development, automation and controls, back end, front end, native application dev, data science, etc.) with some limited experience applying them to real world situations.  Plus, demonstrates in-depth knowledge in at least one focus area. 
Knowledge:    
  • Demonstrates an understanding of the core concepts in one or more focus areas (sensor development, automation and controls, back end, front end, native application dev, data science, etc.) with some limited experience applying them to real world situations.   
  • For Software roles: Demonstrates strong knowledge of the full software development processes and lifecycle and in-depth knowledge in at least one focus area: 
    • Mobile development - native mobile development or cross-platform development with a framework such as React Native 
    • Front End Development - SPA frameworks such as Angular or React, UI/UX design 
    • IoT Development - embedded programming, wireless networking, security, Azure IoT Hub or AWS IoT environment integration, integrated testing 
    • Back End Development - Microservices, Serverless, Lambda Architectures 
    • Data Engineering - Relational and NoSQL data, Data visualization tools such as Power BI, streaming data, etc. 
    • Data Analytics - techniques and tools including Azure Machine Learning, SQL, Hadoop/Hive,  
  • For IoT roles: demonstrates in-depth knowledge in at least one focus area: 
    • Sensor design, including mechanical design, PCB design and development and prototyping 
    • Controllers, gateways, local wireless protocols and hardware 
    • Systems design and development 
    • Control logic development 
    • Data analytics tools, techniques and problem frame up 
    • Embedded programming 
    • Installation and commissioning 
    • IoT stack elements including Azure or AWS environments  
Skills:
    • The scientific method in design, execution, and analysis of bench scale and field experiments  
    • Advanced MS Office skills, ability to conduct data analysis and draw data-driven conclusions  
    • Excellent verbal and written communication skills. Skilled in working in cross-functional global teams including Marketing, Sales, R&D and working with global stakeholders at all levels of the organization. 
    • Strong Mathematical skills - ability to use probability and statistical inference and apply fractions, percentages, ratios and proportions to practical situations. 
    • Advanced Reasoning - ability to define problems, collect data, establish facts and draw conclusions 
    • Ability to read, analyze and interpret common scientific and technical journals, financial reports and legal documents 
    • Strong Presentation Skills - Able to effectively present information to top management, and public groups. 
 
Behaviors:
  • Collaborates  - Building partnerships and working collaboratively with others to meet shared objectives. 
  • Focus on Results - Consistently achieving results, even under tough circumstances. 
  • Manages Complexity - Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems. 
  • Nimble Learning - Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder. 
  • Possibility Thinking - Creating new and better ways for the organization to be successful. 
  • Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm. 
  • Plans and Aligns - Planning and prioritizing work to meet commitments aligned with organizational goals. 
  • Ensures Accountability - Holding self and others accountable to meet commitments. 
We appreciate the interest of recruitment partners, but we are not engaging external agencies for this role.
 
#LI-TF1
#LI-Onsite
 
 

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