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Chemical Engineering Data Science Jobs in Houston, TX

Huntsman

Chemical Engineering Intern

Houston, TX · On-site

$16 - $20.75/hr

Analyze operating data to identify opportunities for yield, throughput, quality, and cost ... Pursuing a Bachelor's degree in Chemical Engineering * Sophomore, Junior, Senior, or Master's level ...

Intuitive Machines LLC

Chemical Engineer

Houston, TX · On-site

Our mission is to further science and exploration, communications, and economic progress from the ... S. in Chemical Engineering or related discipline * 5+ years of relevant engineering experience.

Techvilla Solutions

Data Scientist

Highlands, TX · On-site

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Staffingine LLC

Chemical Engineering Lead

The Woodlands, TX · On-site

$92K - $120K/yr

Job Title: Chemical Engineering Lead Job Location: Woodlands, Tx Job Type: Contract * In-depth ... Proficient in using data analytics tools, including SEEQ, for process data interpretation and ...

MOREgroup

Manager, Data Science & Services

Spring, TX · On-site

The Meaning of More MOREgroup is a family of architecture, design, and engineering brands that ... Develop and maintain data solutions that support reporting, business intelligence, data science ...

MOREgroup

Manager, Data Science & Services

Spring, TX · On-site

The Meaning of More MOREgroup is a family of architecture, design, and engineering brands that ... Develop and maintain data solutions that support reporting, business intelligence, data science ...

Hp

AI Data Scientist - Enterprise AI

Spring, TX

$130K - $205K/yr

This role sits at the intersection of applied research, machine learning engineering, data science, and business transformation. The ideal candidate combines strong technical expertise in Large ...

Brilliant Infotech, Inc.

Data Analytics Engineer

Houston, TX · On-site

$105K - $126K/yr

Need Locals and W2 Candidates Only Required Qualifications: • Bachelor's degree in Engineering, Computer Science, Data Science, Information Systems, or related discipline. • 5+ years of ...

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All JobsChemical Engineering Data Science JobsChemical Engineering Data Science Jobs in Houston, TX

Chemical Engineering Data Science information

See Houston, TX salary details

$24.7K

$96.6K

$190K

How much do chemical engineering data science jobs pay per year?

As of Aug 26, 2026, the average yearly pay for chemical engineering data science in Houston, TX is $96,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,460.00 and $134,720.00 per year, depending on experience, location, and employer.

What is a chemical engineering data science?

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 does a chemical engineering data science do?

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 are the key skills and qualifications needed to thrive in chemical engineering data science?

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.

Can a chemical engineering data scientist become a data scientist?

A chemical engineering data scientist can become a data scientist by expanding their skills in programming, statistics, and machine learning, which are essential for general data science roles. Their domain expertise can be an advantage in industries like energy, pharmaceuticals, or manufacturing, but they may need additional training or certifications in data science tools such as Python, R, or SQL. Transitioning often involves gaining experience with broader data analysis techniques and project management skills common in data science positions.

What are the most commonly searched types of Chemical Engineering Data Science jobs in Houston, TX?

The most popular types of Chemical Engineering Data Science jobs in Houston, TX are:

What are popular job titles related to Chemical Engineering Data Science jobs in Houston, TX?

For Chemical Engineering Data Science jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Chemical Engineering Data Science jobs in Houston, TX look for?

The top searched job categories for Chemical Engineering Data Science jobs in Houston, TX are:

What cities near Houston, TX are hiring for Chemical Engineering Data Science jobs?

Cities near Houston, TX with the most Chemical Engineering Data Science job openings:

Chemical Engineering Data Science jobs near you
Infographic showing various Chemical Engineering Data Science job openings in Houston, TX as of August 2026, with employment types broken down into 81% Full Time, 6% Part Time, and 13% Contract. Highlights an 90% In-person, 4% Hybrid, and 6% Remote job distribution, with an average salary of $96,638 per year, or $46.5 per hour.

Data Scientist (Oil and Gas)

Sky Consulting Inc

Houston, TX • On-site

Full-time

Re-posted 18 days ago

Job description

No sponsorship is available now or in the future. 3 days onsite in Houston,TX (Downtown)
Title:Data Scientist (Oil and Gas)
Location: Houston,TX - Hybrid 3 days in office
Type of Role: Full time
 
Description
We are seeking a Data Scientist with strong downstream refining experience to drive data-
driven insights across refinery operations, economics, and reliability. This role partners
closely with process engineers, operations, planning, maintenance, and commercial teams
to optimize refinery performance using advanced analytics, machine learning, and domain-
informed modeling.
You’ll work on high-impact problems such as yield optimization, energy efficiency, unit
reliability, predictive maintenance, and margin improvement—turning complex refinery data
into actionable intelligence.
 
Analytics & Modeling
 Develop, validate, and deploy statistical, ML, and optimization models for refining
operations
 Build models supporting:
o Unit performance optimization (e.g., CDU/VDU, hydrotreating, cracking)
o Energy efficiency and utilities optimization
o Yield and cut-point optimization
o Predictive maintenance and reliability analytics
o Fouling, corrosion, and anomaly detection
o Apply time-series analysis to high-frequency plant data (DCS, historian)
Refining Domain Collaboration
 Partner with process engineers, operations, maintenance, and planning
teams to translate refinery problems into analytical solutions
 Incorporate first-principles knowledge (mass & energy balances, constraints,
process limits) into data models
 Interpret model results in the context of refinery economics, safety, and operability
Communication Impact
 Clearly communicate insights to technical and non-technical stakeholders
 Quantify business impact (margin improvement, energy reduction, reliability gain
 
Responsibility
 Bachelor’s or Master’s degree in Data Science, Chemical Engineering, Applied
Mathematics, Statistics, or related field
 3–8+ years of experience applying data science in downstream refining or closely
related process industries
 Strong proficiency in Python or R for data analysis and modeling
 Experience with time-series data and industrial process data
 Solid understanding of refining processes and unit operations
 Experience working with historians (PI), SQL databases, and unstructured data