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

Senior Software Engineer - Applied Data

Seattle, WA ยท On-site

$139K - $183K/yr

About the Role The Ads Applied Data team builds and scales the foundational data infrastructure ... You'll work closely with Product, ML, and Data Science teams to enable feature engineering ...

You will lead a team of data scientists building the intelligence layer across the full advertising ... Advance state-of-the-art applied science across the three pillars above: embeddings and ...

You will lead a team of data scientists building the intelligence layer across the full advertising ... Advance state-of-the-art applied science across the three pillars above: embeddings and ...

Senior Data and Applied Scientist

Redmond, WA ยท On-site

$160K - $261K/yr

The CEAI Data Science and Applied AI team is seeking passionate AI practitioners and data scientists to join agile, cross-functional teams working on cutting-edge model evaluation frameworks ...

New

The team is seeking a Senior Data & Applied Scientist to apply advanced data science, machine ... Responsibilities โ€ข Own complex data science engagements by translating ambiguous legal, knowledge ...

Director- Data Science

Bellevue, WA ยท 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 ...

Data Science Engineer

Seattle, WA

$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 ...

About the Role The Ads Applied Data team builds and scales the foundational data infrastructure ... You'll work closely with Product, ML, and Data Science teams to enable feature engineering ...

AI Data Science Expert - Remote

Seattle, WA ยท Remote

$100 - $200/hr

Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics. * Experience producing or ...

AI Data Science Expert - Remote

Seattle, WA ยท Remote

$100 - $200/hr

Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics. * Experience producing or ...

Applied Scientist

Seattle, WA ยท On-site

$120 - $140/hr

As a result, we think Grid is positioned for efficient and powerful applied science. What you'll do * Research & Analysis: Perform data research and analysis using Grid's proprietary dataset as well ...

Data Scientist III

Seattle, WA ยท On-site

$126.98 - $200.68/hr

... and applied collaboration with research teams and program level efforts. This is a hands-on technical role situated at the interface of translational science, data engineering, and research ...

Applied Scientist

Seattle, WA ยท On-site

$120 - $140/hr

As a result, we think Grid is positioned for efficient and powerful applied science. What you'll do * Research & Analysis: Perform data research and analysis using Grid's proprietary dataset as well ...

Applied Scientist

Seattle, WA ยท On-site

$120K - $140K/yr

As a result, we think Grid is positioned for efficient and powerful applied science. What you'll do * Research & Analysis: Perform data research and analysis using Grid's proprietary dataset as well ...

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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 Aug 29, 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 is an applied data science?

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.

What does an applied data science do?

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.

What are the key skills and qualifications needed to thrive in applied data science?

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.

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 like Python, R, and SQL.
Infographic showing various Applied Data Science job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $159,370 per year, or $76.6 per hour.

Senior Software Engineer - Applied Data

Seattle, WA โ€ข On-site

Moloco
Marketingย โ€ขย 501 - 1,000 employees

$139K - $183K/yr

Full-time

Posted 24 days ago


Job description

About the Role

The Ads Applied Data team builds and scales the foundational data infrastructure that powers Moloco's advertising platform. As a Senior Software Engineer, you will design, develop, and optimize distributed data systems for real-time and batch processing, ensuring reliable and low-latency delivery of data across the ads ecosystem. You'll work closely with Product, ML, and Data Science teams to enable feature engineering, identity resolution, and advanced user signal enrichment across online and offline pipelines.

Responsibilities
  • Design and build large-scale distributed systems for data ingestion (Petabyte-scale), transformation, and serving.
  • Partner with ML and Serving teams to support feature engineering workflows, connecting offline data to serving systems.
  • Contribute to the evolution of Feature Infra / Feature Store, ensuring scalability, discoverability, and consistency of feature data.
  • Collaborate on Identity Graph construction to unify user and device identifiers for more effective signal enrichment and targeting.
  • Improve system observability, resilience, and performance in high-throughput, low-latency environments.
  • Mentor engineers and help define best practices for data and backend engineering.
Qualifications
  • Bachelor's or Master's degree in Computer Science, or equivalent technical field.
  • 5+ years of software engineering experience with one or more modern languages (Java, Kotlin, Go, C++, C#, or Python).
  • Proven experience designing and building large-scale distributed systems and backend services.
  • Hands-on experience with data processing frameworks such as Apache Beam, Dataflow, or Spark, and orchestration tools like Airflow.
  • Strong understanding of cloud infrastructure (GCP, AWS, or Azure) and data storage technologies (BigQuery, Bigtable, Redis, GCS, Kafka, Pub/Sub).
  • Demonstrated experience delivering impactful projects through collaboration with cross-functional teams (Product, ML, Data Science).
Preferred Qualifications
  • Experience with Feature Infra / Feature Store architecture and operations.
  • Experience in Identity Graph design and construction to enhance user signal quality.
  • Deep familiarity with AdTech or Machine Learning infrastructure domains.
  • Experience working with Petabyte-scale data and high-availability systems.