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Internship Chemical Engineering Data Science Jobs in Tennessee

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

$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

$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 ...

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 ...

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Internship Chemical Engineering Data Science information

What types of projects can an intern expect to work on in a chemical engineering data science internship?

As a Chemical Engineering Data Science intern, you can expect to work on projects that combine data analysis with chemical process optimization. Typical tasks may include analyzing large datasets from lab experiments or manufacturing systems, developing predictive models for process improvement, and visualizing data to support decision-making. Interns often collaborate closely with chemical engineers, data scientists, and production teams, gaining exposure to both technical and practical aspects of the field. This hands-on experience can provide valuable insights into how data science drives innovation in chemical engineering.

What is an internship in chemical engineering data science?

An internship in Chemical Engineering Data Science is a temporary position for students or recent graduates to gain hands-on experience applying data science techniques to chemical engineering problems. Interns work on projects involving data analysis, modeling, and simulation to optimize processes, improve efficiency, or solve real-world challenges in fields such as energy, pharmaceuticals, or manufacturing. This role provides valuable exposure to both chemical engineering concepts and advanced data science tools, preparing interns for careers at the intersection of these disciplines.

What is the difference between Internship Chemical Engineering Data Science vs Internship Chemical Engineering?

AspectInternship Chemical Engineering Data ScienceInternship Chemical Engineering
Required CredentialsRelevant coursework in chemical engineering and data science, possibly some programming skillsBasic chemical engineering knowledge, possibly some engineering coursework
Work EnvironmentData analysis labs, software development environments, research teamsProcess plants, laboratories, manufacturing facilities
Employer & Industry UsageTech companies, consulting firms, R&D departments in chemical industriesChemical plants, manufacturing companies, energy sectors

Internship Chemical Engineering Data Science focuses on applying data analysis and programming skills to chemical engineering problems, often in tech-driven environments. In contrast, Internship Chemical Engineering emphasizes traditional chemical processes and manufacturing. Both roles require foundational chemical engineering knowledge but differ in technical focus and work settings.

Can a chemical engineer become a data scientist?

A chemical engineer can become a data scientist by acquiring 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, especially in industries like manufacturing or energy. Transitioning may also involve learning tools such as Python, R, and data visualization software.

What are the key skills and qualifications needed to thrive as an internship chemical engineering data science?

To excel in an Internship in Chemical Engineering Data Science, you typically need a background in chemical engineering, strong analytical abilities, and foundational knowledge of data analysis and statistics. Familiarity with programming languages such as Python or R, data visualization tools, and simulation software is often required. Effective communication, problem-solving skills, and the ability to collaborate within multidisciplinary teams set top candidates apart. These competencies are crucial for interpreting complex data, developing innovative solutions, and contributing to data-driven decision-making in engineering projects.
What are the most commonly searched types of Chemical Engineering Data Science jobs in Tennessee? The most popular types of Chemical Engineering Data Science jobs in Tennessee are:
What are popular job titles related to Internship Chemical Engineering Data Science jobs in Tennessee? For Internship Chemical Engineering Data Science jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Internship Chemical Engineering Data Science jobs in Tennessee look for? The top searched job categories for Internship Chemical Engineering Data Science jobs in Tennessee are:
Internship Chemical Engineering Data Science jobs near you

Digital Innovation Engineer

Digital Innovation Engineer - Chemical Engineer at buckman | Hirebase

Memphis, TN

$132K/yr

Full-time

Re-posted 19 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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