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Chemical Engineering Data Science Jobs in Washington

Tulk LLC

Data Science SME Senior

Fort Belvoir, VA · On-site

$120K - $171K/yr

Minimum 10 years of experience focusing on the concepts and applications of data analytics, computer science and programming, data modeling, Artificial intelligence and machine learning. * Experience:

Elder Research

Data Scientist

Arlington, VA · Hybrid

Bachelor's degree in mathematics, statistics, computer science, engineering, data science, or a related quantitative field * Hands-on experience building and evaluating NLP-based machine learning ...

Elder Research

Data Scientist

Arlington, VA · Hybrid

Bachelors degree in mathematics, statistics, computer science, engineering, data science, or a related quantitative field * Hands-on experience building and evaluating NLP-based machine learning ...

Celestar Corporation

Data Scientist- Senior

Washington, DC · On-site

$175K - $180K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written ...

New

Elder Research

Data Scientist

Arlington, VA · On-site

Bachelor's degree in mathematics, statistics, computer science, engineering, data science, or a related quantitative field * Hands-on experience building and evaluating NLP-based machine learning ...

CELESTAR

Data Scientist- Senior

Washington, DC · On-site

$175K - $180K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written ...

Integral

Senior Data Science Developer

Annapolis Junction, MD · On-site

$155K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Overview Senior Data Science Developer Location: Annapolis Junction, MD (Hybrid) Clearance: Public ... Engineering Analytics (PEA) program. The PEA program will support TSA as they continue to look for ...

Makpar

Data Scientist

Washington, DC · On-site

$120 - $160/hr

We combine functional and technical expertise in cloud engineering, data management, cybersecurity ... Bachelor's in Data Science, Computer Science, Mathematics, or related field. * 4+ years of ...

Integral

Senior Data Science Developer

Annapolis Junction, MD

$155K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Data Science Developer Location: Annapolis Junction, MD (Hybrid) Clearance: Public Trust ... Engineering Analytics (PEA) program. The PEA program will support TSA as they continue to look for ...

Battelle Memorial Institute

Data Scientist

Chantilly, VA · On-site

$135K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Battelle's Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Business Line is ... A Work Environment Where You Succeed For brilliant minds in science, technology, engineering and ...

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Showing results 41-60

All JobsChemical Engineering Data Science JobsChemical Engineering Data Science Jobs in Washington

Chemical Engineering Data Science information

See Washington salary details

$27.4K

$107.1K

$210.4K

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

As of Aug 17, 2026, the average yearly pay for chemical engineering data science in Washington is $107,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,683.00 and $149,239.00 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 Washington?

The most popular types of Chemical Engineering Data Science jobs in Washington are:

What are popular job titles related to Chemical Engineering Data Science jobs in Washington?

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

What job categories do people searching Chemical Engineering Data Science jobs in Washington look for?

The top searched job categories for Chemical Engineering Data Science jobs in Washington are:

What cities in Washington are hiring for Chemical Engineering Data Science jobs?

Cities in Washington 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 Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $107,053 per year, or $51.5 per hour.

Data Science SME Senior

Tulk LLC

Fort Belvoir, VA • On-site

$120K - $171K/yr

Full-time

Re-posted 24 days ago

Job description

Data Science SME Senior

TULK supports U.S. national security customers with cleared experts who understand the mission, the tradecraft, and the people who have to make decisions with imperfect information.

On GTLSS, TULK supports the National Geospatial-Intelligence College and related NGA mission partners by helping develop, deliver, and maintain GEOINT learning that is current, practical, and mission-relevant.

Why This Role Matters

This is a mission-facing role for a senior Data Science professional who wants to turn deep tradecraft experience into practical learning for analysts, operators, and mission partners. You will help deliver, maintain, and improve training that supports how GEOINT professionals solve real national security problems.

What You Will Do

  • Deliver GEOINT tradecraft learning in classroom, virtual, and mobile training environments.
  • Help learners connect tradecraft concepts to realistic mission scenarios, analytic problems, and operational decision-making.
  • Support curriculum management, course maintenance, and course development activities in accordance with NGC guidance.
  • Review courseware for technical accuracy, currency, instructional effectiveness, and alignment to the assigned tradecraft area.
  • Participate in Integrated Development Team meetings with course managers, learning development representatives, and mission stakeholders.
  • Maintain required instructor certification and course qualification status.

Required Skills and Experience

  • U.S. citizenship is required.
  • An active TS/SCI security clearance is required. Some positions may require additional accesses, SCI eligibility, or successful completion of a Counterintelligence-scope polygraph process as directed by the customer.
  • Education: A bachelor's degree from an accredited (i.e., regional, national, or institutional) academic institution, related to their assigned area of expertise (i.e., Computational Thinking, Programming, Statistics, or Data Visualization).
  • Education: Department of Defense (DoD) Basic Instructor Certification
  • Experience: Minimum 10 years of experience focusing on the concepts and applications of data analytics, computer science and programming, data modeling, Artificial intelligence and machine learning.
  • Experience: Minimum 2 years delivering learning content to adult learners in a classroom setting.

What We Value

  • Mission focus, sound judgment, and professionalism in support of national security customers.
  • The ability to make complex GEOINT concepts clear, useful, and relevant to adult learners.
  • Strong communication, preparation, and follow-through.
  • A collaborative approach with government, contractor, and mission partners.
  • A bias for practical improvements that make training better and more useful for the mission.