Predictive Modeling Jobs in California
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Search Results - Predictive Modeling Jobs in California
OpenAI-San Francisco-appcast.io-
expertise in predictive modeling and causal inference, with at least 7 years of experience in a quantitative role. This position offers a hybrid work model and a competitive salary range of $255K - $405K.
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Harnham-Santa Clara-
analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue...
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Amazon-San Francisco-appcast.io-
directions, conduct impactful experiments, and mentor team members. Ideal candidates should have a PhD and extensive experience in predictive modeling, alongside strong programming skills. Join us to innovate for millions of business customers in a dynamic...
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Harnham-Fremont-
analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue...
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Intuit Inc.-San Francisco-appcast.io-
A leading financial technology company is seeking a Staff Data Scientist to enhance its growth in money and consumer lending products. This high-impact role involves leading causal analyses, predictive modeling, and defining key performance...
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Harnham-Hayward-
analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue...
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Brex Inc.-San Francisco-appcast.io-
key business drivers to inform strategic financial decisions and enhance forecast precision. The ideal candidate has expertise in predictive modeling, causal inference, and experience collaborating with Corporate and Strategic Finance teams...
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Harnham-Sunnyvale-
analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue...
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Amazon-San Francisco-appcast.io-
hiring, mentorship and leadership development
• Acquire domain expertise and in-depth understanding of related engineering systems
• Contribute through patenting and publishing
Basic Qualifications
• 5+ years of hands‑on work in predictive modeling...
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Harnham-San Francisco-
analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue...
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Qode-Los Angeles-workable.com-
initiatives to enable personalized and predictive patient insights
• Drive analytics platforms supporting patient care concepts
• Collaborate with data science teams for advanced predictive modeling
Core Skills:
• AWS
• Data engineering
• Data Tech Lead...
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2 similar jobs: San Jose, San Diego
Jobs-Emeryville (CA)-jobvertise.com-
record of successfully delivering AI and analytics solutions that drive measurable business impact
Deep knowledge of machine learning techniques, predictive modeling, statistical analysis, and data visualization tools
Strong understanding of data...
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West Covina-icims.com-
and predictive modeling to deliver accurate forecasts.
• Lead cross-functional collaboration with Buying, Allocations, Marketing and MINISO HQ to ensure alignment on assortment, pricing, and promotional strategies.
• Drive in-season business decisions...
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Amazon-Hawthorne (CA)-amazon.jobs-
Key job responsibilities
• Identify and secure new retail partnerships with national and regional retailers across growth channels including rural, outdoor, luxury, DIY, live shopping, and ecommerce using AI-driven market analysis and predictive...
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TWG Global AI-Santa Monica (CA)-workable.com-
solutions including predictive modeling, time series forecasting, optimization, and causal methods
• Leverage a broad stack of technologies to analyze large volumes of numeric and textual data
• Research, develop, and implement advanced machine learning...
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