133 staff data scientist jobs at 59 companies in Santa Clara, CA
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3mo
Staff Data Scientist, Marketing
San Francisco, California, United States
RemoteFull Time
RedditNYSE: RDDT: Social platform for community-driven discussion and content sharing.
10+ YOESenior data scientist for marketing measurement; advanced degree; 6–10+ years experience in marketing science/econometrics; Python/R/SQL; production pipelines; communicates with executives.
WalmartNYSE: WMT: Multinational retail operating discount stores and supermarkets.
5+ YOESenior data scientist with expertise in ML (deep learning, RL, NLP), distributed computing (Spark/Hadoop), Python, big-data platforms, SQL, cloud (GCP/Azure), model deployment in high-scale production, and strong leadership.
CoupangNYSE: CPNG: Provides online retail, grocery delivery, and video streaming services.
8+ YOEMaster's in CS/EE/Math (or related), 8+ years data scientist experience, expertise in experimentation/statistics, strong SQL and R/Python skills, experience with large datasets and ML/LLM concepts, strong communication.
HeartFlowNASDAQ: HTFL: Provides AI-driven non-invasive cardiac diagnostic software and analysis.
7+ YOEMasters or PhD in relevant field, 7+ years (5+ with PhD) in data science/ML/computer vision, expertise in medical imaging data, strong Python and statistical skills, experience with data lakes, SQL/NoSQL, AWS, and model evaluation.
SalesforceNYSE: CRM: Provides cloud-based customer relationship management and enterprise software.
6+ YOERequires 6+ years in data science, statistics, or quantitative analysis; advanced SQL and programming proficiency; distributed data experience; statistical modeling; experimentation; and executive communication skills.
SalesforceNYSE: CRM: Sells cloud-based customer relationship management and business software solutions.
6+ YOE6+ years applying data science, statistics, or quantitative analysis; advanced SQL and programming skills; experience with statistical modeling, experimentation, large-scale data, and executive communication; bachelor's degree or equivalent.
Santa Monica or Brooklyn or San Francisco or Los Angeles or New York City
$200k-$230k/yrHybridFull Time
Pivotal Health: AI platform automating healthcare insurance claim disputes for providers.
Strong applied data science and optimization experience; production modeling, experimentation, Python, AI-native workflows, and ability to partner with engineers to productionize decisioning systems.
New York City or Chicago or Boston or San Francisco or Palo Alto or Toronto
$180k-$230k/yrRemoteFull Time
Jerry: Mobile app for car insurance comparison and vehicle management.
6+ YOERequires 6+ years in consulting, investment banking, or high-growth technology; strong analytical skills, independent data interpretation, ambiguous problem ownership, and leadership-level communication.
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
10+ YOEBachelor's in a quantitative field or equivalent,10+ years in data science/product analytics,strong statistics and experimentation skills,proficiency in SQL and Python/R,experience with segmentation and predictive models.
IntuitNASDAQ: INTU: Provides financial software for accounting, tax, and personal finance.
8+ YOEBS or MS in quantitative field, 8+ years data science/product analytics experience, advanced SQL and Python, experience with visualization tools and causal inference, strong communication and experimentation skills.
GoFundMe: Provides an online platform for personal and nonprofit fundraising.
8+ YOE8+ years leading data science projects, advanced degree (or equivalent), expertise in causal inference, experimentation, ML for personalization, strong SQL and Python skills, stakeholder communication and mentoring experience.
Midi Health: Virtual medical care for women navigating midlife and menopause.
8+ YOE8+ years delivering data science solutions; advanced degree (Master's/PhD) in a quantitative field; expertise in causal inference, LTV/attribution, production ML, simulations; advanced Python and SQL; authorized to work in the U.S.
WalmartNYSE: WMT: Operates a chain of hypermarkets, discount stores, and grocery stores.
5+ YOEMaster's degree and 5+ years in data science or machine learning required; alternatives include bachelor's plus 4 years, master's plus 2 years, or 6 years in analytics. Requires advanced ML, AI, statistics, and Python expertise.
SoFiNasdaq: SOFI: Mobile-first platform for banking, lending, and investment services.
5+ YOEMaster's degree plus 5 years, or bachelor's degree plus 7 years, in statistics, data science, or a related quantitative field. Requires machine learning, Python, SQL, NoSQL, Hive, statistical modeling, cloud deployment, and credit underwriting experience.
SnowflakeNYSE: SNOW: Cloud-based platform for data storage, processing, and analytics.
5+ YOEAdvanced quantitative degree or equivalent experience; 5+ years building production statistical or machine learning systems; expertise in causal inference, experimentation, forecasting, propensity, uplift, ranking, or recommendation systems; strong Python and SQL.
Cursor: AI-powered code editor for professional software developers.
Exceptional SQL, production data pipelines and modeling experience, forecasting/quota modeling, CRM/GTM data familiarity, experimentation and causal inference skills, strong analytical judgment and stakeholder communication.
LinkedInNASDAQ: MSFT: Professional social network for career development and job recruitment.
5+ YOEBachelor's or higher degree in a quantitative discipline, 5+ years of relevant experience, SQL, programming in R, Python, or Scala, statistical modeling, data visualization, and A/B testing.
PinterestNYSE: PINS: Visual discovery engine for finding inspiration and creative ideas.
8+ YOE8+ years applying statistics, ML, and experimentation to web-scale data; expertise in Python/R and SQL/Hive; strong product sense, communication, and leadership experience.
Chan Zuckerberg Biohub: Builds AI-powered technologies for biomedical research and disease study.
PhD in computational biology, bioinformatics, or a quantitative biological field; tokenization and data representation experience; strong Python and scientific computing skills; experience with biological AI and large-scale datasets.