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Chemical Engineering Data Science Jobs in Seattle, WA

1 point system

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, or related field AND 4+ years' experience in analytics engineering, data engineering, data science, data analyst, or ...

Walmart

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Partner with product, engineering, merchandising, and business stakeholders to identify opportunities and align on strategic initiatives. * Partner with other cross location data science teams to ...

Walmart

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Partner with product, engineering, merchandising, and business stakeholders toidentifyopportunities and align on strategic initiatives. * Partner with other cross location data science teams to ...

Walmart

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Partner with product, engineering, merchandising, and business stakeholders toidentifyopportunities and align on strategic initiatives. * Partner with other cross location data science teams to ...

Walmart

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Partner with product, engineering, merchandising, and business stakeholders to identify opportunities and align on strategic initiatives. * Partner with other cross location data science teams to ...

Adobe

Data Science Engineer

Seattle, WA

$130K - $156K/yr

We seek a data scientist to join theCreativity & Productivityfinance team to refine and implement ... with data engineering teams to implement changes. * Prepare analytical reports to document ...

Porch.com, Inc.

Head of Data Science

Seattle, WA · On-site +1

You will build and guide a high-performing team of data scientists and machine learning engineers, partnering closely with senior executives and insurance business leaders to deliver measurable ...

MCG Health

Director, Data Science

Seattle, WA

$201K - $281K/yr

The Director, Data Science provides strategic and operational leadership for MCG's Data Science ... Working closely with Product, Engineering, Clinical, and executive leadership, the Director ...

Porch.com, Inc.

Head of Data Science

Seattle, WA · On-site +1

You will build and guide a high-performing team of data scientists and machine learning engineers, partnering closely with senior executives and insurance business leaders to deliver measurable ...

Meta

Data Science Director (IC)

Bellevue, WA

$253K/yr

The Data Science Director will collaborate with Engineering and Product executives across Meta Ads and the Family of Apps Monetization teams. The candidate will have extensive experience in large ...

Microsoft

Principal Data Scientist

Redmond, WA · On-site

The Industry Solutions Engineering (ISE) team is a global engineering organization that works ... Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research ...

Microsoft

Senior Data Scientist

Redmond, WA · On-site

The Industry Solutions Engineering (ISE) team is a global engineering organization that works ... Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research ...

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All JobsChemical Engineering Data Science JobsChemical Engineering Data Science Jobs in Seattle, WA

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 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 Seattle, WA? The most popular types of Chemical Engineering Data Science jobs in Seattle, WA are:
What are popular job titles related to Chemical Engineering Data Science jobs in Seattle, WA? For Chemical Engineering Data Science jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Chemical Engineering Data Science jobs in Seattle, WA look for? The top searched job categories for Chemical Engineering Data Science jobs in Seattle, WA are:
Chemical Engineering Data Science jobs near you
Infographic showing various Chemical Engineering Data Science job openings in Seattle, WA as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 70% In-person, and 30% Remote job distribution.

AI Data Engineer

1 point system

Redmond, WA • On-site

$128K - $154K/yr

Contractor

Re-posted 7 days ago

Job description

Candidate Requirements

Disqualifiers: Repetitive, overly long, or generic or keyword heavy resumes that lack context on impact or outcomes (ex, just listing tools/tech without explaining business value) will likely be disqualified

Best vs. Average: The ideal resume would contain resumes that clearly demonstrate how their work drives business impact (ex. improved performance, enabled decision making, supported marketing or product outcomes) and show strong critical thinking and problem solving in how they present their experience.

Top 3 Must-Have HARD Skills & years of experience for each:   

  1. Python 4-5 years
  2. Data Modeling 3 years
  3. Marketing 2 years

Responsibilities

  • Build subject matter expertise of our business and data domains to collaborate with data consumers and stakeholders to understand their information needs and assist them with data access.
  • Identify and analyse multi-structured data or metadata from a variety of sources to select and document the most effective and accurate data which fulfils the analytics requirements.
  • Design data models, architect dataflows, and develop abstractions to deliver scalable solutions for analytics and machine learning ensuring they can evolve with changing needs.
  • Leverage modern data engineering practices and frameworks with an object-oriented approach to architect, build, and maintain automated data pipelines which transform data into clean, enriched, and accurate information.
  • Advance our infrastructure by developing frameworks, reusable components and new capabilities to achieve our mission.
  • Enable the Franchise performance marketing strategy through the development of relevant and robust data products.

 

Required Qualifications

  • Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, or related field AND 4+ years’ experience in analytics engineering, data engineering, data science, data analyst, or related software development work
  • Master's Degree in Computer Science, Software Engineering, Computer Engineering, or related field AND 3+ years’ experience in analytics engineering, data engineering, data science, data analyst, or related software development work
  • OR equivalent experience.
  • 2+ years working as an Analytics Engineer or Data Engineer with regular business collaboration or equivalent on large enterprise systems.
  • Experience building, maintaining and optimizing enterprise scale data pipelines handling logs and event streaming data on Cloud Data Platforms using modern tools like Spark, and airflow; Azure preferred.
  • Proficiency with SQL; Advanced skills with Python for data transformation and automation

 

Preferred Qualifications

  • Critical thinker and problem solver who brings a creative and open mindset.
  • A proven track record building and optimizing analytic solutions and data products which deliver significant business impact.
  • Data analysis and exploration skills to identify, select and prepare data for analytics.
  • Business acumen to address business challenges through analytics engineering.
  • Experience building, maintaining and optimizing enterprise scale data pipelines handling logs and event streaming data on Cloud Data Platforms using modern tools like Spark, and airflow; Azure preferred.
  • Working knowledge of DevOps and DataOps.