59 product data scientist jobs at 30 companies in Olympia, WA
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Staff Product Data Scientist, Lending
Seattle, Washington, United States
$240k-$359k/yrRemoteFull Time
BlockNYSE: XYZ: Creates financial tools for businesses and individuals.
6+ YOEAdvanced quantitative degree or equivalent experience, 6+ years (graduate degree) or 12+ years (bachelor) in data science/analytics, strong SQL, product and statistical judgment, experience with AI tools, experimentation and measurement.
Anthropic: Developing safe and reliable artificial intelligence systems.
Proficient in Python, SQL, and data visualization; strong expertise in experimental design, causal inference, statistics, and A/B testing; experience partnering with product/engineering on API or developer products; excellent communication.
San Francisco or Paris or Seattle or Madrid or London or Berlin or New York City or Sydney or Mexico City
$140k-$180k/yrHybridFull Time
Aircall: Cloud-based customer communications and call center platform.
3+ YOE3–5 years of technical experience; SQL and Python proficiency; experiment design, data visualization, stakeholder communication, and experience with data pipelines, orchestration, and data engineering collaboration.
United States or San Francisco or New York City or Seattle
$205k-$295k/yrRemoteFull Time
Apollo.io: AI-powered platform for B2B sales intelligence and outreach automation.
Deep product analytics experience with SQL, A/B testing, ML, and statistical analysis; expertise in cohort, time series, and funnel analysis; degree in an analytical field or equivalent experience; product/SaaS experience preferred.
Looker, Amplitude, Heap, Mixpanel, SQL, R, Python, SAS
PinterestNYSE: PINS: Visual discovery engine for finding and saving ideas.
8+ YOEBachelor’s or master’s degree in a quantitative field or equivalent experience; 8+ years applying advanced analytics to large-scale data; expertise in statistics, experimentation, SQL, Python, and data visualization.
OpendoorNASDAQ: OPEN: Digital marketplace for buying and selling residential real estate.
8+ YOE8+ years in data science or analytics; strong statistical and causal inference skills; end-to-end ML ownership; SQL and Python proficiency; experience with experimentation and production ML tooling.
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
3+ YOE3+ years data science experience; strong causal inference and economics/ML background; proficiency with SQL; experience with Airflow or SageMaker and production ML deployment preferred; strong communication and analytical skills.
DoorDashNYSE: DASH: Local food delivery and on-demand logistics platform.
8+ YOEDegree in a quantitative or technical field, 8+ years in data science and product analytics, experimentation expertise, data pipeline experience, and strong communication and cross-functional influence skills.
San Francisco or Los Angeles or Washington or San Diego or Seattle or London
$150k-$170k/yrHybridFull Time
CHAOS Industries: Develops advanced radar and sensing systems for modern defense.
2+ YOEBS/MS in a technical field, 2+ years software development, strong Python, production systems, AI/ML integration, model evaluation, APIs, distributed systems, containers, CI/CD, and observability.
8+ YOEMaster's in an analytical field (or 3 additional years' experience), 8+ years data science/software engineering experience, production ML and modeling, Python and SQL, Spark, Docker, APIs, and code version control experience.
DocuSignNASDAQ: DOCU: Provider of e-signature and intelligent agreement management software.
8+ YOE8+ years in analytics/data science with advanced SQL and Python, experience building production data models and measurement products, and expertise in marketing measurement and BI tools.
15+ YOEBachelor’s degree or equivalent practical experience; 15 years in data science or quantitative fields; experience using data insights to improve products and engineering; advanced degree and product-building experience preferred.
Los Angeles or Santa Monica or New York City or Bellevue or Seattle or San Francisco or Palo Alto
$133k-$235k/yrOnsiteFull Time
SnapNYSE: SNAP: Develops social media applications and augmented reality technology.
3+ YOE3+ years quantitative/data science experience, bachelor’s or equivalent, strong SQL and Python/R skills, statistical modeling and A/B testing experience, product sense, and ability to communicate insights.
3+ YOE3+ years experience in quantitative analysis/data science, bachelor’s in a technical field or equivalent, proficiency with SQL and Python/R, strong statistical and product sense, and ability to drive projects and communicate insights.
Menlo Park or New York or Seattle or San Francisco or Seoul or Beijing or Singapore or Gurgaon or Tokyo or Shanghai or London or Tel Aviv or Berlin
$180k-$264k/yrOnsiteFull Time
Moloco: AI-powered programmatic advertising and commerce media platform.
8+ YOEBachelor's in quantitative field, 8+ years data science experience in customer/product-facing roles, strong experimental design and causal inference skills, Python and SQL required, BigQuery preferred, excellent communication and stakeholder management.
San Francisco or Palo Alto or Seattle or United States
$165k-$339k/yrHybridFull Time
PinterestNYSE: PINS: Visual discovery engine for finding inspiration and creative ideas.
10+ YOE10+ years in web-scale data environments, expertise in ML, statistical modeling, causal inference, product analytics, Python/R, advanced SQL/Spark, strong communication and leadership.
LyftNASDAQ: LYFT: Provides an on-demand ride-hailing and multimodal transportation platform.
4+ YOEAdvanced degree or equivalent experience in quantitative field, 4+ years in causal inference/data science, expertise in causal methods and MMM, SQL and Python proficiency, production coding and experiment design experience.
San Francisco or Seattle or New York City or Miami
$191k-$230k/yrHybridFull Time
Socure: Provide AI-driven identity verification and fraud prevention software.
5+ YOERequires MS/PhD or equivalent experience, 5+ years in ML or data science, production ML model expertise, expert SQL and Python, platform experience, and strong experimentation and statistical analysis skills.