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Director Causal Inference Jobs in California (NOW HIRING)

Senior Data Scientist

San Diego, CA · On-site

$149K - $202K/yr

Causal Inference: Lead causal inference and econometric analyses to understand and influence key ... Deliver compelling, data-driven narratives to VP and Director stakeholders; distill complex ...

Senior Data Scientist

Mountain View, CA · On-site

$149K - $202K/yr

Causal Inference: Lead causal inference and econometric analyses to understand and influence key ... Deliver compelling, data-driven narratives to VP and Director stakeholders; distill complex ...

Causal Inference: Lead causal inference and econometric analyses to understand and influence key ... Deliver compelling, data-driven narratives to VP and Director stakeholders; distill complex ...

Senior Data Scientist

San Diego, CA · On-site

$149K - $202K/yr

Causal Inference: Lead causal inference and econometric analyses to understand and influence key ... Deliver compelling, data-driven narratives to VP and Director stakeholders; distill complex ...

Senior Data Scientist

San Diego, CA · On-site

$149K - $202K/yr

Causal Inference: Lead causal inference and econometric analyses to understand and influence key ... Deliver compelling, data-driven narratives to VP and Director stakeholders; distill complex ...

Causal Inference: Lead causal inference and econometric analyses to understand and influence key ... Deliver compelling, data-driven narratives to VP and Director stakeholders; distill complex ...

Staff Data Scientist

San Diego, CA · On-site

$185K - $251K/yr

Causal Inference: Lead causal inference and econometric analyses to understand and influence key ... Deliver compelling, data-driven narratives to VP and Director stakeholders; distill complex ...

Staff Data Scientist

Mountain View, CA · On-site

$185K - $251K/yr

Causal Inference: Lead causal inference and econometric analyses to understand and influence key ... Deliver compelling, data-driven narratives to VP and Director stakeholders; distill complex ...

Staff Data Scientist

Mountain View, CA · On-site

$185K - $251K/yr

Causal Inference: Lead causal inference and econometric analyses to understand and influence key ... Deliver compelling, data-driven narratives to VP and Director stakeholders; distill complex ...

Staff Data Scientist

San Diego, CA · On-site

$185K - $251K/yr

Causal Inference: Lead causal inference and econometric analyses to understand and influence key ... Deliver compelling, data-driven narratives to VP and Director stakeholders; distill complex ...

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Director Causal Inference information

What are the most commonly searched types of Causal Inference jobs in California? The most popular types of Causal Inference jobs in California are:
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Infographic showing various Director Causal Inference job openings in California as of July 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 80% In-person, 4% Hybrid, and 16% Remote job distribution.

Director of AI Analytics & CEO Office

Airwallex

San Francisco, CA • On-site

Full-time

Re-posted 29 days ago


Job description

Job Summary:
Airwallex is a unified payments and financial platform for global businesses, empowering over 200,000 businesses worldwide. They are seeking a Director of AI Analytics & CEO Office to provide leadership with data, tooling, and insights to support global growth, focusing on strategic forecasting and AI-driven solutions.
Responsibilities:
• Executive Advisory: Act as a strategic partner for the CEO, CFO, and Regional Business Leads, translating complex data landscapes into actionable business strategies.
• Strategic Forecasting & Planning: Own Airwallex’s global forecasting engine. You will oversee the development of sophisticated statistical models and tools that aggregate top-down and bottom-up forecasts to drive annual planning and capital allocation.
• Macro & Causal Analysis: Lead the development of causal inference frameworks to quantify the impact of macroeconomic shifts and internal interventions on our global ecosystem.
• AI Strategy: Drive the roadmap for leveraging Generative AI and Machine Learning to automate insights, optimize business efficiency, and create proprietary data products.
• Team Leadership: Scale and lead a world-class team of data scientists and engineers. You will be responsible for talent acquisition, performance management, and cultivating an environment of technical excellence and proactive critical thinking.
Qualifications:
Required:
• 10+ years in data science, analytics, or applied ML, including 5+ years leading teams at scale in top-tier tech, fintech, or growth-driven businesses.
• Deep expertise in causal inference, time-series forecasting, and applied ML.
• Expert-level proficiency in SQL and Python/R, with experience overseeing modern data stacks (Airflow, Databricks, dbt, Snowflake).
• Comfortable navigating business trade-offs, prioritizing initiatives for outsized growth impact.
• Thrives in fast-scaling environments with high ambiguity and is excited to build teams, systems, and best practices from the ground up.
• Exceptional verbal and written communication skills with the ability to influence executive-level stakeholders and translate complex model results into actionable business insights.
• Bachelor’s or Master’s degree in a quantitative field (e.g., Data Science, Computer Science, Statistics, Economics, Engineering) or equivalent practical experience.
• 10+ years of experience in data analytics, data science, or quantitative strategy, with at least 5 years managing high-performing technical teams.
• Demonstrated experience working directly with executive leadership (C-suite/VP level) to influence corporate strategy using data.
• Hands-on experience building and deploying advanced forecasting, causal inference, or machine learning models in a production environment.
• Proficiency with modern data stack tools (SQL, Python, and cloud data warehouses like Snowflake or Databricks).
• Proven track record of productionalizing Generative AI applications or agentic workflows to automate business intelligence and reporting.
Preferred:
• Master or advanced degree in a highly quantitative discipline (e.g., Econometrics, Statistics, Machine Learning).
• Experience working in Fintech, global payments, or high-growth B2B SaaS environments.
• Experience operating within a 'CEO Office' or corporate strategy function, balancing deep technical execution with high-level business acumen.
• Familiarity with global macroeconomic indicators and their impact on cross-border transactional data.
Company:
Airwallex is a global payments and financial platform that provides business accounts, payment solutions, and spend management tools. Founded in 2015, the company is headquartered in Singapore, SGP, with a team of 1001-5000 employees. The company is currently Late Stage.