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Remote Amazon Data Science Jobs in Edmonds, WA (NOW HIRING)

AWS Data Engineer (Senior)

Seattle, WA · Remote

$108K - $147K/yr

... Science, Engineering, or a related field. * 3+ years of experience working with PySpark and SQL. * 2+ years of experience building and maintaining data pipelines using Amazon EMR or Amazon Glue. * 2+ ...

AWS Data Engineer (Senior)

Seattle, WA · On-site +1

$120K - $163K/yr

... Science, Engineering, or a related field. * 3+ years of experience working with PySpark and SQL. * 2+ years of experience building and maintaining data pipelines using Amazon EMR or Amazon Glue. * 2+ ...

Comprehensive computer science fundamentals in coding, object-oriented programming, data structures ... Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data ...

Comprehensive computer science fundamentals in coding, object-oriented programming, data structures ... Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data ...

Comprehensive computer science fundamentals in coding, object-oriented programming, data structures ... Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data ...

AI Engineer - Machine Learning 3

Redmond, WA · Remote

$117K - $140K/yr

Requirement - AI Engineer - Machine Learning 3 Location- Redmond, WA 98052-Remote Contract W2 Title: Machine Learning Data Scientist - Research Translation & Prototypin Top 3 Must-Have HARD Skills ...

Staff Data Scientist, Ads Delivery

Seattle, WA · On-site +1

$164K - $339K/yr

Bachelor's/Master's degree in a relevant field such as Computer Science, or equivalent experience ... REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for ...

Comprehensive computer science fundamentals in coding, object-oriented programming, data structures ... Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data ...

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Remote Amazon Data Science information

What is the difference between Remote Amazon Data Science vs Remote Amazon Data Analyst?

AspectRemote Amazon Data ScienceRemote Amazon Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/R; experience with machine learningBachelor's in Data Analysis, Business, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, cross-functional projects, remote data science platformsRemote reporting, data interpretation, and visualization tasks within Amazon teams
Employer & Industry UsageAmazon's data science teams focusing on predictive modeling, ML, and AIAmazon's data analysis teams focusing on reporting, dashboards, and business insights

Remote Amazon Data Science involves developing machine learning models and advanced analytics, requiring programming and statistical skills. In contrast, Remote Amazon Data Analyst roles focus on interpreting data, creating reports, and supporting decision-making with less emphasis on coding. Both roles are integral to Amazon's data-driven strategies but differ in technical complexity and daily tasks.

What job categories do people searching Remote Amazon Data Science jobs in Edmonds, WA look for? The top searched job categories for Remote Amazon Data Science jobs in Edmonds, WA are:
What cities near Edmonds, WA are hiring for Remote Amazon Data Science jobs? Cities near Edmonds, WA with the most Remote Amazon Data Science job openings:
Staff Data Scientist, Ads Delivery

Staff Data Scientist, Ads Delivery

Pinterest

Seattle, WA • On-site, Remote

Other

Posted 22 days ago


Job description

We are looking for a Staff Data Scientist for our Ads Delivery. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world.

What you'll do:

  • Develop a deep, nuanced understanding of the Pinterest ads delivery, quantifying full funnel opportunities and risks.
  • Lead projects on:
    • Pinner LTV
    • Tradeoff between ads and organic engagement
    • Ads Delivery opportunities across different funnel stages
  • Design and productionize robust, scalable ML and evaluation frameworks-spanning forecasting, recommendation, and causal inference.
  • Advocate for best-in-class experimentation, instrumentation, and metric design; bridge the gap between short-term proxy metrics and long-term business impact.
  • Collaborate across disciplines-Product, Engineering, Research, Business, and Design-translating complex data questions into actionable business insights.
  • Mentor and guide junior and senior scientists, fostering intellectual curiosity and driving technical excellence.

What we're looking for:

  • 10+ years of hands-on experience in web-scale data environments, with a track record of solving hard, ambiguous problems in product, engagement, or ecosystem analytics.
  • Bachelor's/Master's degree in a relevant field such as Computer Science, or equivalent experience.
  • Deep expertise in: Machine Learning (recommendation, ranking, prediction, experimentation), Statistical Modeling & Causal Inference (observational and experimental data), Product analytics/strategy (beyond dashboards: root cause, goaling, design collaboration), Programming in Python/R and advanced SQL/Spark.
  • Strong product intuition-ability to scope, question, and design the right solutions for ill-defined, high-impact business problems.
  • Scientific rigor and healthy skepticism: You challenge assumptions, find flaws, and drive towards robust, reproducible outcomes.
  • Exceptional communication: You make the complex simple, and can influence both technical and non-technical audiences.
  • Track record mentoring and growing data talent at the staff/senior IC level.
  • Cross-functional leadership and the ability to align competing interests towards shared goals.

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

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