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Remote Chemical Engineering Data Science Jobs (NOW HIRING)

Lorven Technologies

Senior Applied Data Scientist

Remote Fulltime Summary: Hands-on, independent contributor who can originate work, turn ambiguous ... Partner with Data Engineering/Data Science/SMEs to validate logic and deliver accurate outputs.

John Deere

Staff Data Scientist

Preferred : • PhD in Statistics, Data Science, Computer Science, Applied Mathematics, Engineering ... remote-sensing, or satellite imagery datasets. • Hands-on experience with geospatial analytics ...

Trustwell

Lead AI & Data Scientist

$150K - $170K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering ... Remote (United States)

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Bachelor's Degree - Engineering or Science 19+ years of relevant experience Required Certifications:

Addison Group

Sr. Data Scientist

Chicago, IL · On-site +1

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI ... EDUCATION: Master's degree in computer science, statistics, industrial engineering, or related ...

Addison Group

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI ... EDUCATION: Master's degree in computer science, statistics, industrial engineering, or related ...

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Remote Chemical Engineering Data Science information

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

AspectRemote Chemical Engineering Data ScienceRemote Chemical Engineering
Required CredentialsBachelor's or higher in Chemical Engineering, Data Science, or related fields; knowledge of programming and data analysisBachelor's or higher in Chemical Engineering; engineering licensure may be preferred
Work EnvironmentPrimarily remote, involving data analysis, modeling, and software toolsRemote or on-site, focusing on process design, safety, and plant operations
Employer & Industry UsageTech companies, consulting firms, or R&D departments integrating data scienceManufacturing, oil & gas, pharmaceuticals, and chemical plants

Remote Chemical Engineering Data Science combines chemical engineering principles with data analysis skills, often working remotely on modeling and data-driven decision-making. In contrast, Remote Chemical Engineering focuses on process design and plant operations, which may involve on-site work. Both roles require a chemical engineering background but differ in technical focus and work environment.

How do remote chemical engineering data scientists typically collaborate with cross-functional teams?

Remote chemical engineering data scientists often work closely with R&D, process engineering, and IT teams to analyze complex datasets and develop data-driven solutions. Collaboration is facilitated through virtual meetings, shared digital platforms, and clear documentation. Regular communication and project management tools help coordinate tasks, track progress, and ensure that insights are effectively integrated into engineering projects. Building strong relationships remotely can be a challenge, but proactive communication and participation in team discussions are key to successful collaboration.

What is a Remote Chemical Engineering Data Scientist?

A Remote Chemical Engineering Data Scientist is a professional who applies data science techniques, such as machine learning and statistical analysis, to chemical engineering problems while working outside a traditional office setting. They analyze data from chemical processes, develop predictive models, and help optimize production, often collaborating with teams virtually. This role requires a strong foundation in chemical engineering principles, programming skills, and experience with data analytics tools. Working remotely offers flexibility but also demands excellent communication and self-management skills.

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

To excel as a Remote Chemical Engineering Data Scientist, you need a strong background in chemical engineering principles, data analysis, and statistical modeling, often supported by a degree in engineering or data science. Proficiency in programming languages like Python or R, experience with machine learning frameworks, and familiarity with process simulation tools are typically required. Exceptional problem-solving skills, communication, and the ability to collaborate virtually make candidates stand out in this remote environment. These capabilities are vital for transforming complex chemical process data into actionable insights and driving innovation from a distance.
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What cities are hiring for Remote Chemical Engineering Data Science jobs? Cities with the most Remote 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:
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What job categories do people searching Remote Chemical Engineering Data Science jobs look for? The top searched job categories for Remote Chemical Engineering Data Science jobs are:
Remote Chemical Engineering Data Science jobs near you
Infographic showing various Remote 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.
Senior Applied Data Scientist

Senior Applied Data Scientist

Lorven Technologies

Remote

Full-time

Posted 7 days ago

Job description

Senior Applied Data Scientist / Technical Problem Solver
Location : Remote
Fulltime
Summary: Hands-on, independent contributor who can originate work, turn ambiguous asks into crisp, testable requirements, and deliver end to end applied analytics solutions across multiple active projects.
Core Responsibilities
Translate vague business questions into technical requirements, user stories, and acceptance criteria.
Explore data, profile/validate and build quick prototypes (R/Python acceptable).
Identify feasibility issues, dependencies, and risks early; propose clear solution paths.
Partner with Data Engineering/Data Science/SMEs to validate logic and deliver accurate outputs.
Maintain momentum across multiple concurrent workstreams with minimal oversight.
Ideal Profile
Strong applied analytics; able to debug data logic end to end.
"Street smart" problem solver; bias to action; comfortable with ambiguity.
Clear communicator; documents assumptions, definitions, and QA steps.
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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