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Chemical Engineering Data Science Jobs in Seattle, WA

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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 ...

MCG Health

Director, Data Science

Seattle, WA · On-site

$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 ...

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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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.

Senior Data Engineer & Data Science Engineer

Microsoft

Redmond, WA • On-site

$119K - $234K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

78th of 242 rated software companies

Job description

Overview
Microsoft Cloud Hardware Infrastructure Engineering (CHIE) is the team behind Microsoft's expanding Cloud Infrastructure and responsible for powering Microsoft's "Intelligent Cloud" mission. CHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Skype, OneDrive and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions. Our focus is on smart growth, high efficiency, and delivering a trusted experience to customers and partners worldwide and we are looking for a Senior Data Engineer & Data Science Engineerto help achieve that mission.
The Cloud Hardware Analytics & Tools (CHAT) Team within SCHIE develops advanced analytical and tooling solutions to support and improve the quality of Microsoft Azure. We collect, manage and analyze data across the full Azure stack, HW & SW components, Silicon development processes, and much more. CHAT Data Analytics & Engineering, a branch of CHAT, provides data support, machine learning and artificial intelligence solutions, and advanced visualizations to cloud engineering and management partners. We are looking for a Senior Data Engineer & Data Science Engineer to support our custom data analytics and visualizations platform as well and building the enablement of implementing AI solutions and analytics across our division. This role combines data engineering with data science, and will have direct contributions to Azure-level projects, including working with highly visible platforms through data-driven approaches. This role closely collaborates with other Data Engineers, Software Engineers, other Data Scientists, Program Managers, and HW Engineering teams.
We further use that data to power AI solutions across the SCHIE org designed to improve efficiency, quality and innovation. If you're an experienced developer and share our passion please consider applying.
Responsibilities
  • Identify opportunities for custom and existing AI solutions that will provide business impact across our division.
  • Design and develop data solutions to enable complex AI and analytical solutions.
  • Understand and stay connected to industry AI solutions.
  • Work in collaborative environment.

Qualifications
Required Qualifications:
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.

Other Requirements:
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
  • This role will require access to information that is controlled for export under export control regulations, potentially under the U.S. International Traffic in Arms Regulations or Export Administration Regulations, the EU Dual Use Regulation, and/or other export control regulations. As a condition of employment, the successful candidate will be required to provide either proof of their country of citizenship or proof of their US. residency or other protected status (e.g., under 8 U.S.C. 1324b(a)(3)) for assessment of eligibility to access the export-controlled information. To meet this legal requirement, and as a condition of employment, the successful candidate's citizenship will be verified with a valid passport. Lawful permanent residents, refugees, and asylees may verify status using other documents, where applicable.

Preferred Qualifications:
  • Bachelor's Degree in Computer Science, Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, or related field OR equivalent experience.
  • 7+ years industry experience.
  • 1+ years of hands on experience working with AI solutions in the industry.

#azurehwjobs #SCHIE
Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

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Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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