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Chemical Engineering Data Science Jobs in Dallas, TX

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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Chemical Engineering Data Science information

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 Dallas, TX?

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

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

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

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

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

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

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

Infographic showing various Chemical Engineering Data Science job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Technical Project Manager Data Engineering Data Science

Plugins Inc

Dallas, TX โ€ข On-site

$51.50 - $69.50/hr

Other

Posted 23 days ago


Job description

Technical Project Manager | Data Engineering & Data Science
Location: Dallas, TX  Hybrid (Onsite + Remote)
Employment Type: Full Time / Contract (W2)
Duration: 12+ Months (Ongoing)
Cloud Environment: Amazon Web Services (AWS)
Team Structure: US Onsite Teams and Offshore GCC Teams
We are seeking an experienced Technical Project Manager with strong expertise in Data Engineering and Data Science programs to lead enterprise initiatives within a large commercial airline environment.
In this role, you will coordinate project delivery between onsite leadership in the United States and offshore Global Capability Center (GCC) teams, driving AWS-based Data Engineering, Analytics, and Machine Learning initiatives from planning through successful delivery.
Required Qualifications
Technical Skills
* Experience managing Data Engineering and/or Data Science projects
Strong understanding of AWS data services: Amazon S3 โ€ข AWS Glue โ€ข Amazon Redshift โ€ข Amazon EMR โ€ข Amazon Athena โ€ข Amazon SageMaker โ€ข AWS Lambda โ€ข AWS Step Functions
* Knowledge of ETL/ELT frameworks and modern data pipeline architecture
* Familiarity with Machine Learning lifecycle management
* Experience with Agile delivery methodologies (Scrum or SAFe)
* Experience using Jira, Confluence, or similar project management tools
* Understanding of cloud security, data governance, and data quality best practices

Project Management

* Experience managing complex enterprise technology programs
* Experience coordinating onsite and offshore GCC teams
* Strong skills in project planning, dependency management, risk management, and stakeholder communication
* Ability to communicate technical concepts effectively to executive leadership
Professional Skills
* Excellent verbal and written communication
* Strong organizational and planning abilities
* Ability to manage multiple priorities in a fast-paced environment
* Comfortable working with cross-functional and multicultural teams
Key Responsibilities
Project Delivery
* Lead end-to-end delivery of Data Engineering and Data Science initiatives
* Define project scope, timelines, milestones, and success metrics
* Manage project plans, RAID logs, risk registers, and executive status reporting
* Lead Agile ceremonies including sprint planning, stand-ups, reviews, and retrospectives
Offshore Team Coordination
* Serve as the primary liaison between onsite stakeholders and offshore GCC teams
* Coordinate work across multiple time zones
* Manage resource planning, priorities, escalations, and delivery governance
* Ensure transparency and accountability across distributed teams