33 decision science jobs at 12 companies in Seattle, WA
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AI & Data Decision Science Manager - Utilities
Albany or Arlington or Atlanta or Austin or Bentonville or Boston or Carmel or Charlotte or Chicago or Cincinnati or Cleveland or Columbus or Denver or Des Moines or Hartford or Houston or Irving or Miami or Milwaukee or Minneapolis or Morristown or Nashville or New York City or Oklahoma City or Overland Park or Philadelphia or Pittsburgh or Raleigh or Sacramento or San Diego or San Francisco or Scottsdale or Seattle or St. Louis or St. Petersburg or Walnut Creek or United States
$80k-$294k/yrOnsiteFull Time
AccentureNYSE: ACN: Global professional services firm providing consulting and technology solutions.
6+ YOERequires 6+ years in data science, machine learning, AI, or advanced analytics; 6+ years building decision frameworks; 1+ year serving utilities; programming and leadership skills; bachelor's degree or equivalent.
Python, R, SQL, TensorFlow, PyTorch, scikit-learn, OpenAI, Anthropic, AWS, Azure, Google Cloud, Hadoop, Spark, Tableau, Microsoft Power BI
Boston or Milwaukee or Dallas or Columbus or Cincinnati or Cleveland or Oklahoma City or Austin or Albany or Chicago or St. Petersburg or Pittsburgh or Hartford or St. Louis or Miami or Sacramento or Raleigh or Minneapolis or Scottsdale or Morristown or San Francisco or Denver or Philadelphia or Des Moines or Overland Park or Walnut Creek or Charlotte or Seattle or Carmel or Houston or Arlington or Atlanta or Bentonville or Nashville or San Diego or California or Colorado or District of Columbia or Illinois or Maine or Maryland or Massachusetts or Minnesota or New York or New Jersey or Virginia or Washington
$80k-$294k/yrFieldFull Time
AccentureNYSE: ACN: Global provider of management consulting and technology services.
5+ YOE5+ years in data science/ML/AI with consulting or delivery experience; bachelor's (preferred) and master's (preferred) in data science/CS/statistics; experience with EMR/EHR, healthcare interoperability, Python/R/SQL, ML frameworks, cloud platforms, and leadership of onshore/offshore teams.
EMR, EHR, Claude, Python, R, SQL, TensorFlow, PyTorch, scikit-learn, OpenAI, Anthropic, AWS, Azure, Google Cloud, Hadoop, Spark, Tableau, Microsoft Power BI
SalesforceNYSE: CRM: Sells cloud-based customer relationship management and business software solutions.
5+ YOE5+ years in data/decision science, experience with agentic AI and automation, strong Python/R and SQL skills, advanced quantitative degree in a related field, excellent communication and ownership.
StarbucksNASDAQ: SBUX: Operates a global chain of coffeehouses and roastery reserves.
1+ YOEBachelor's in a quantitative field and 1+ year data science experience. Proficiency with SQL, Python or R, data visualization (Tableau/PowerBI/Shiny/D3), Microsoft Office, working in complex data ecosystems, and communicating insights.
SQL, Python, R, Tableau, PowerBI, Shiny, D3, Microsoft Word, Microsoft PowerPoint, Microsoft Excel
Think Tank: Provides IT and management consulting services to government agencies.
3+ YOEBachelor's in related field, 3+ years relevant experience, valid U.S. driver license, public trust suitability, strong quantitative skills, familiarity with R and GitHub, fieldwork capability and report-writing experience.
Farmers InsuranceSIX Swiss Exchange: ZURN: Provides insurance for vehicles, homes, and businesses.
2+ YOEMaster's in Business Analytics/Applied Data Science or related plus 2 years relevant experience; experience in life or P&C insurance; proficiency with AWS, Sagemaker, S3, Python, R, QGIS, Google Earth Pro; machine learning and statistical methods.
AWS, Sagemaker, S3, Python, R, QGIS, Google Earth Pro
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
PhD in economics (required); experience developing econometric and ML models; demonstrated analytic vision; experience with R, Python, or STATA; mentoring experience and industry/consulting/research background preferred.
New York City or San Francisco or Sunnyvale or Seattle
$255k-$375k/yrOnsiteFull Time
DoorDashNYSE: DASH: Local food delivery and on-demand logistics platform.
10+ YOE10+ years in data science, analytics, or a quantitative field; senior-team leadership and manager development experience; expertise in experimentation, causal inference, SQL, statistical analysis, metrics, and strategic decision-making.
OpendoorNASDAQ: OPEN: Online platform for buying and selling residential real estate.
8+ YOE8+ years in data science or similar quantitative role; strong SQL and Python; experience with ML lifecycle; ability to translate findings into business decisions.
PACCARNasdaq: PCAR: Designs and manufactures heavy-duty commercial trucks and diesel engines.
1+ YOEBachelor's degree in engineering, computer science, or related field and 1–3+ years of relevant experience. Requires technical writing, engineering specifications, automotive technology, and decision-making skills.
IBM DNG, IBM Rational Rhapsody, IBM Rational Team Concert, MATLAB, Creo/ProE, SolidWorks, Catia, ASPICE, ISO26262, V-Model, SPICE, data acquisition equipment
T-MobileNASDAQ: TMUS: Provides wireless network services and mobile communication devices.
7+ YOEBachelor's degree or equivalent, 7+ years marketing experience with 5+ years in relevant product categories, proven P&L and GTM leadership, ability to translate data science into commercial decisions.
Senior Principal Product Manager - Gen AI Platforms
Redwood City or Seattle or Toronto or Dallas
$177k-$319k/yrHybridFull Time
EquinixNASDAQ: EQIX: Provides global data center colocation and digital interconnection services.
10+ YOE10+ years in product, engineering, data science or related; deep experience with generative AI, cloud platforms, enterprise data architecture, LLMs, and AI product decisions; ability to influence senior leaders.
T-MobileNASDAQ: TMUS: Provides wireless voice, data, and mobile internet services.
7+ YOE7+ years marketing experience, 5+ years in related industries, bachelor's degree or equivalent, experience scaling large portfolios, strong fiber product knowledge, ability to translate data science into commercial decisions, and legal authorization to work in the U.S.