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Chemical Engineering Data Science Jobs (NOW HIRING)

We are looking for a highly motivated Chemical Data Scientist in our Chemical Artificial ... D. in Chemistry, Geology, Chemical Engineering, Petroleum Engineering or related fields with 6+ ...

We are looking for a highly motivated Chemical Data Scientist in our Chemical Artificial ... D. in Chemistry, Geology, Chemical Engineering, Petroleum Engineering or related fields with 6+ ...

As a Chemical Engineer at Envirogen, you will work closely with other engineers and scientists to ... integrate chemical engineering solutions in full-scale plants. * Analyze process data and ...

As a Chemical Engineer at Envirogen, you will work closely with other engineers and scientists to ... integrate chemical engineering solutions in full-scale plants. * Analyze process data and ...

As a Chemical Engineer at Envirogen, you will work closely with other engineers and scientists to ... integrate chemical engineering solutions in full-scale plants. * Analyze process data and ...

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 ...

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 ...

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 ...

... available data to support project scope development, and preparation of outage reports. Develops ... Employs limited knowledge of engineering theory, mathematics, and the physical sciences. Performs ...

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Chemical Engineering Data Science information

What is a Chemical Engineering Data Science job?

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 are the key skills and qualifications needed to thrive in the Chemical Engineering Data Science position, and why are they important?

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.

What are the typical daily responsibilities of someone working in Chemical Engineering Data Science?

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 cities are hiring for Chemical Engineering Data Science jobs? Cities with the most 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 states have the most Chemical Engineering Data Science jobs? States with the most job openings for Chemical Engineering Data Science jobs include:
Infographic showing various Chemical Engineering Data Science job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 70% Physical, 2% Hybrid, and 28% Remote job distribution.

$132.10K/yr

Other

Posted 8 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.
 
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