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Chemical Engineering Data Science Jobs in Washington

BigBear.ai

Data Scientist, Lead

Washington, DC · On-site

Bachelor's degree in data science, data engineering, mathematics, or another related field * Minimum of 3 years of experience conducting analysis using data science or engineering (an additional 4 ...

Steampunk

Data Scientist

Mclean, VA

$125K - $160K/yr

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Analytics, Engineering, Economics, or a related field. * 6+ years of experience building and evaluating ...

Tulk LLC

Data Science SME Mid

Fort Belvoir, VA · On-site

$115K - $157K/yr

Minimum 5 years of experience focusing on the concepts and applications of data analytics, computer science and programming, data modeling, Artificial intelligence and machine learning. What We Value

Steampunk

Data Scientist

Mclean, VA

$125K - $160K/yr

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Analytics, Engineering, Economics, or a related field. * 6+ years of experience building and evaluating ...

Gartner

Director, Data Science

Arlington, VA · Remote

  • Medical

  • Retirement

  • PTO

Collaborate with engineering, product, UX, and business leaders to prioritize ideas, launch MVPs, iterate rapidly, and deliver measurable business value. * Lead a team of data scientists, driving ...

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Analytics, Engineering, Economics, or a related field. * 6+ years of experience building and evaluating ...

AIToolboard

Sr. Data Scientist

Washington, DC · On-site

$140 - $200/hr

What you need to have • Must possess a TS/SCI clearance with a CI poly (or ability to obtain) • Bachelor's degree in data science, data engineering, mathematics, or another related field • ...

Bigbear.ai

Sr. Data Scientist

Washington, DC · On-site

$140K/yr

Bachelor's degree in data science, data engineering, mathematics, or another related field * Minimum of 8 years of experience conducting analysis using data science or engineering, with at least a ...

BigBear.ai

Sr. Data Scientist

Washington, DC · On-site

Bachelor's degree in data science, data engineering, mathematics, or another related field * Minimum of 8 years of experience conducting analysis using data science or engineering, with at least a ...

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Showing results 21-40

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 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.

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.

Can a chemical engineering data scientist become a data scientist?

A chemical engineering data scientist can transition to a general data scientist role by developing skills in programming, statistical analysis, and machine learning. Their background in chemical processes and data analysis can be valuable, but they may need to gain experience with broader data tools and techniques used across industries. Certifications or training in data science are often helpful for this career shift.

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, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $107,053 per year, or $51.5 per hour.

Data Scientist, Lead

BigBear.ai

Washington, DC • On-site

Other

Re-posted 28 days ago

Job description

Residency
All applicants must reside in the United States at the time of application.
Overview
BigBear.ai is seeking a Data Scientist to conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis using scientific techniques to correlate data into graphical, written, visual, and verbal narrative products to enable more informed analytic decisions. The successful candidate will proactively retrieve information from various sources, analyze it for better understanding, and assist with building AI tools that automate key processes. This position will be based out of Washington, D.C. or the greater National Capital Region (NCR). This is an opportunity to get in on the "ground level" of a new and exciting program with a critical Department of War (DoW) customers.
What you will do
Duties typically include: creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems. Perform statistical analysis, apply data mining techniques, and build high quality prediction systems. The successful candidate should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms. Additionally, the candidate should have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics.
What you need to have
  • Must possess a TS/SCI clearance with a CI poly (or ability to obtain)
  • Bachelor's degree in data science, data engineering, mathematics, or another related field
  • Minimum of 3 years of experience conducting analysis using data science or engineering (an additional 4 years of experience may be substituted for the above education requirements)
  • Deep understanding and experience using Python and/or R
  • Prior experience with large data, multi-INT analytics, machine learning, and automated predictive analytics

What we'd like you to have
  • Current CI poly
  • Master's degree in data science, data engineering, mathematics, or another related field
  • At least 8 years of experience conducting analysis using data science or engineering, with at least a portion of experience within the last 2 years
  • Experience working creating products for Object Based Intelligence purposes
  • Experience within the DoW and/or US Intelligence Community

Pay transparency
Please note the targeted compensation range is provided as an estimate, and any actual compensation offer may vary depending on the needs of the company, or an applicant's skillset, competencies, experience, education, certifications, location, or other factors. The estimated range does not include the value of any benefits offered.
About BigBear.ai
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai's predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.
BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.

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