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Director Chemical Engineering Data Science Jobs in Washington

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 ...

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 ...

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 ...

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 ...

Data Science SME Lead

Fort Belvoir, VA · On-site

$120K - $189K/yr

You will work directly with course managers, instructional developers, and mission stakeholders to ... directed by the customer. * Education: A bachelor's degree from an accredited (i.e., regional ...

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 ...

Data Scientist

Chantilly, VA · On-site

$135K - $180K/yr

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 ...

Data Scientist

Chantilly, VA · On-site

$135K - $180K/yr

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 ...

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 ...

Sr. Data Scientist

Washington, DC · On-site

$150 - $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 • ...

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 ...

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 ...

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 ...

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 ...

Showing results 41-60

Director Chemical Engineering Data Science information

What does a director chemical engineering data science do?

A Director of Chemical Engineering Data Science leads teams that apply data science principles to chemical engineering challenges, such as optimizing processes, improving safety, and driving innovation. This role involves overseeing data-driven projects, collaborating with engineers and data scientists, and ensuring that advanced analytics and machine learning are effectively used in chemical engineering operations. The director also plays a strategic role in shaping data initiatives and aligning them with organizational goals.

How does a director chemical engineering data science typically collaborate with cross-functional teams to drive innovation?

A Director of Chemical Engineering Data Science frequently works alongside R&D scientists, process engineers, IT specialists, and business strategists to bridge the gap between data analytics and chemical engineering processes. This role involves leading data-driven projects, translating complex technical findings into actionable insights, and ensuring that data science initiatives align with organizational goals. Effective collaboration is essential, as the director often facilitates communication across departments, mentors interdisciplinary teams, and champions the adoption of new technologies to enhance innovation and operational efficiency.

What are the key skills and qualifications needed to thrive as a director chemical engineering data science, and why are they important?

To thrive as a Director of Chemical Engineering Data Science, you need advanced expertise in chemical engineering principles, data science methodologies, and a graduate degree in a related field. Proficiency with statistical analysis software (e.g., Python, R), machine learning platforms, and familiarity with process simulation tools are typically required, along with relevant certifications in data science or engineering management. Strong leadership, strategic thinking, and effective communication skills help drive cross-functional teams and translate complex data into actionable business insights. These skills and qualities are crucial for leveraging data-driven solutions to optimize chemical processes, enhance innovation, and achieve organizational objectives.

What is the difference between Director Chemical Engineering Data Science vs Chemical Engineer?

AspectDirector Chemical Engineering Data ScienceChemical Engineer
Required CredentialsAdvanced degrees (Master's/PhD), leadership experience, data science certificationsBachelor's or Master's in Chemical Engineering, engineering licensure often preferred
Work EnvironmentStrategic leadership, cross-departmental collaboration, data-driven decision makingDesign, develop, and optimize chemical processes in manufacturing or R&D
Employer & Industry UsageTech companies, large manufacturing firms, R&D organizationsChemical plants, pharmaceuticals, energy, and manufacturing industries

The main difference is that the Director Chemical Engineering Data Science focuses on strategic leadership and data-driven insights in chemical engineering, often requiring advanced degrees and data science expertise. In contrast, a Chemical Engineer is primarily involved in designing and operating chemical processes, with a focus on technical engineering skills and practical application.

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

Cities in Washington with the most Director Chemical Engineering Data Science job openings:

Infographic showing various Director Chemical Engineering Data Science job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Data Scientist, Lead

BigBear.ai

Washington, DC • On-site

Other

Re-posted 20 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.