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Applied Data Science Jobs in Seattle, WA (NOW HIRING)

The Opportunity The Sr. Manager of People Data Science will lead and develop the data science ... Experience with people data (survey, HRIS, behavioral) in an applied setting * Expert knowledge of ...

They are seeking a Senior Applied Data Scientist to drive insights and inform decision making through advanced analytical techniques, machine learning, and deep learning to enhance business ...

They combine data, computational science, and technology with consumer-oriented business knowledge, to drive high-value insights into the organization. As a Senior Applied Data Scientist you will be ...

They combine data, computational science, and technology with consumer-oriented business knowledge, to drive high-value insights into the organization. As a Senior Applied Data Scientist you will be ...

They combine data, computational science, and technology with consumer-oriented business knowledge, to drive high-value insights into the organization. As a Senior Applied Data Scientist you will be ...

What You Will Bring As A Head of Data Science * 12+ years of experience in data science, applied statistics, actuarial science, machine learning, or econometrics at the industry level (or 15+ years ...

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

Help shape the Data Science and Applied AI roadmap, identifying where predictive modeling, optimization, experimentation, forecasting, causal inference, and modern AI can create the greatest impact.

Data Science Engineer

Seattle, WA · On-site

$130K - $156K/yr

We seek a data scientist to join theCreativity & Productivityfinance team to refine and implement ... Degree ina quantitative fieldlike statistics, economics, applied math, operations research or ...

New

As a Manager for Applied Science at Adobe, you will develop novel data-centric solutions that advance creativity through features in Adobe's products, reaching millions of people worldwide.

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Showing results 1-20

Applied Data Science information

See Seattle, WA salary details

$28.1K

$159.4K

$242.4K

How much do applied data science jobs pay per year?

As of Jul 26, 2026, the average yearly pay for applied data science in Seattle, WA is $159,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,760.00 and $198,063.00 per year, depending on experience, location, and employer.

What are the typical responsibilities of an Applied Data Science professional on a day-to-day basis?

An Applied Data Science professional typically spends their days gathering, cleaning, and analyzing structured and unstructured data to uncover patterns and generate actionable insights. They frequently build and deploy predictive models, collaborate with business and engineering teams to define project requirements, and communicate findings through clear reports or visualizations. Additionally, they often engage in regular team meetings, contribute to ongoing process improvements, and continuously learn new technologies or methodologies to enhance project outcomes. This combination of technical and collaborative work makes the role both dynamic and highly impactful within most organizations.

Is data science high paying?

Data science is generally considered a high-paying field, with salaries often above average for technology roles. Factors such as experience, skills in programming and statistical analysis, and industry can influence compensation levels.

What can you do with an applied data science degree?

An applied data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, or business intelligence analyst. Graduates can work in industries like finance, healthcare, technology, and marketing, utilizing skills in programming, statistical analysis, and data visualization tools. The degree often requires proficiency in programming languages like Python or R and knowledge of data management and modeling techniques.

What jobs can I get with applied science?

Applied Data Science prepares individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. These jobs typically require skills in programming, statistical analysis, and data visualization tools like Python, R, or SQL, and often involve working with large datasets to inform decision-making.

What are the key skills and qualifications needed to thrive in the Applied Data Science position, and why are they important?

To thrive in Applied Data Science, you need a strong background in statistics, machine learning, data analysis, and programming languages such as Python or R, typically evidenced by a degree in a quantitative field. Familiarity with data visualization tools (like Tableau), cloud platforms (AWS, GCP), and certifications in data science or analytics are highly valued. Effective communication, problem-solving, and teamwork are crucial soft skills to convey insights and collaborate with both technical and non-technical stakeholders. These competencies are critical for transforming complex data into actionable business strategies and driving measurable impact within organizations.

Is 40 too late for data science?

Applied Data Science is a field open to individuals of various ages, and starting a career at 40 is possible with relevant skills such as programming, statistics, and data analysis. Many professionals transition into data science later in their careers by gaining certifications, building portfolios, and continuously learning new tools like Python or R.

What is an Applied Data Science job?

An Applied Data Science job focuses on using data science techniques to solve real-world problems in business, healthcare, finance, and other industries. It involves collecting, processing, analyzing, and interpreting large datasets to extract meaningful insights. Applied data scientists use machine learning, statistical modeling, and programming skills to develop data-driven solutions. They work closely with stakeholders to implement models that drive decision-making and improve operations.

Infographic showing various Applied Data Science job openings in Seattle, WA as of July 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $159,370 per year, or $76.6 per hour.
Sr. Manager, People Data Science

Sr. Manager, People Data Science

Adobe

Seattle, WA • On-site

$161K - $303K/yr

Full-time

Posted 8 days ago


Adobe rating

8.9

Company rating: 8.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

40th of 245 rated software companies


Job description

The Opportunity

The Sr. Manager of People Data Science will lead and develop the data science function within the Employee Experience team. This role will report to the Head of People Analytics and will lead a team of data scientists to derive insights and recommendations that inform strategic people-related decisions.

What you'll Do

Technical & Strategic Leadership

  • Set the technical vision and quality bar for advanced analytics and AI across People Analytics
  • Guide the team's methodological standards for data analysis, AI usage, and predictive modeling
  • Scale insights through automation, tooling, and reusable frameworks
Advanced Analytics / Data Science
  • Build predictive models to forecast workforce outcomes and inform people decisions
  • Lead complex analytical deep dives that inform talent, culture, and organizational effectiveness decisions
  • Automate insight extraction and recurring analyses (e.g., via Python or R)
Influence & Communication
  • Partner with HR and business leaders to connect insights to goals and strategies
  • Communicate recommendations to executives in ways that drive action
  • Translate complexity into clarity for non-analytical partners
People Leadership & Capability Building
  • Lead, develop, and mentor a team of data scientists, building capability in statistical methods and partner influence
  • Foster a culture of innovation, inclusion, and practical impact
What You Need to Succeed
  • 8+ years in applied data science (ideally People Analytics), with 3-5+ years in a leadership role
  • Proficiency in SQL, Python, and/or R for querying, statistical analysis, and predictive modeling
  • Experience with people data (survey, HRIS, behavioral) in an applied setting
  • Expert knowledge of advanced statistical methods (e.g., causal inference, predictive modeling, HLM, network analysis, text/NLP, ML)
  • Skill in influencing senior leaders through clear communication of complex insights
  • Track record of establishing methodological standards or technical governance
  • Ability to collaborate across functions and levels
  • Proven ability to lead and develop high-performing teams
  • Commitment to ethical use of employee data, privacy, fairness, and responsible AI

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.


Let's Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.

AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range:

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $161,700 -- $303,300 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $209,400 - $303,300 In Washington, the pay range for this position is $197,100 - $285,450

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.


What Adobe employees say

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About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982