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Manager Causal Inference Jobs in California (NOW HIRING)

Senior Staff AI Research Scientist

Mountain View, CA · On-site

$116K - $148K/yr

Conduct original research in decision-focused AI, probabilistic modeling, causal inference ... business management Intuit provides a competitive compensation package with a strong pay for ...

... manage everything from business accounts, payments, spend management and treasury, to embedded ... Lead the development of causal inference frameworks to quantify the impact of macroeconomic shifts ...

Conduct complex, rigorous deep-dive analyses and causal inference to uncover root causes and ... Partner closely with Product Managers, Engineers, and Policy teams to translate data-driven ...

... manage everything from business accounts, payments, spend management and treasury, to embedded ... Your work will encompass revenue forecasting, deep causal inference, and deploying AI-driven ...

Conduct complex, rigorous deep-dive analyses and causal inference to uncover root causes and ... Partner closely with Product Managers, Engineers, and Policy teams to translate data-driven ...

... manage everything from business accounts, payments, spend management and treasury, to embedded ... Your work will span revenue forecasting, causal inference, and embedding AI-driven insights across ...

Data Scientist, GTM

San Francisco, CA · On-site

$125K - $200K/yr

... manage everything from business accounts, payments, spend management and treasury, to embedded ... Your work will cover revenue forecasting, causal inference, and embedding AI-driven insights ...

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Manager Causal Inference information

How does a Manager of Causal Inference typically collaborate with cross-functional teams to drive impactful business insights?

Managers of Causal Inference frequently work alongside data scientists, product managers, engineers, and business leaders to design and execute experiments that reveal the true impact of business decisions. They translate complex statistical findings into actionable recommendations, ensuring stakeholders understand both the methodology and implications. Regularly, they lead discussions on experiment design, data collection strategies, and result interpretation, fostering a culture of evidence-based decision-making across the organization.

What does a Manager Causal Inference do?

A Manager Causal Inference leads teams that analyze data to determine cause-and-effect relationships, often in business, healthcare, or technology settings. They design experiments or use statistical methods to understand how different factors influence outcomes, helping organizations make data-driven decisions. This role typically involves managing projects, overseeing analysts or data scientists, and communicating findings to stakeholders. Strong expertise in statistics, data analysis, and leadership is essential for success in this position.

What are the key skills and qualifications needed to thrive as a Manager of Causal Inference, and why are they important?

To thrive as a Manager of Causal Inference, you need a deep understanding of statistics, econometrics, and experimental design, typically supported by an advanced degree in a quantitative field. Proficiency with data analysis tools such as R, Python, SQL, and specialized causal inference libraries, along with experience using data visualization and project management platforms, is crucial. Strong leadership, communication, and critical thinking skills help you effectively guide teams and translate complex findings to stakeholders. These skills ensure rigorous, actionable insights that drive strategic decision-making and organizational impact.
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Senior Staff AI Research Scientist

Senior Staff AI Research Scientist

Intuit

Mountain View, CA • On-site

$116K - $148K/yr

Full-time

Posted 21 days ago


Intuit rating

8.3

Company rating: 8.3 out of 10

Based on 84 frontline employees who took The Breakroom Quiz

73rd of 191 rated software companies


Job description

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Intuit's AI Research team develops novel AI/ML solutions that power intelligent experiences across Intuit's ecosystem of products. The team conducts applied and fundamental research across areas including decision-focused AI, probabilistic modeling, causal inference, simulation-based planning, agentic and multi-agent systems, neuro-symbolic AI, and LLM-based reasoning for business decision workflows, partnering with product and platform teams to translate research breakthroughs into customer value.
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We are looking for a Senior Staff AI Research Scientist to shape and drive the research agenda in one or more of these areas. In this role, you will lead research projects that span multiple workstreams, define technical direction for your area of expertise, and deliver research outcomes that influence Intuit's AI strategy. You will mentor junior researchers, establish collaborations across the organization, and serve as a recognized technical authority both within the team and externally.
Responsibilities
  • Lead and define the research agenda in one or more focus areas, identifying high-impact problems and charting a path from exploration to impact
  • Conduct original research in decision-focused AI, probabilistic modeling, causal inference, simulation-based planning, agentic and multi-agent systems, neuro-symbolic AI, deep learning, and/or LLM-based reasoning for business decision workflows
  • Drive research programs across multiple concurrent workstreams, providing technical direction and ensuring coherence across projects
  • Publish research findings in top-tier venues and represent Intuit's research contributions to the broader scientific community
  • Collaborate with product and platform teams to translate research innovations into platform or customer-facing AI capabilities
  • Mentor junior researchers, elevating the team's technical depth and research quality
  • Identify and establish strategic research collaborations with academic institutions and external partners
  • Contribute to the team's intellectual culture through reading groups, seminars, and internal knowledge sharing

Qualifications
  • PhD in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related field
  • 8+ years of post-PhD research experience in AI/ML, with a strong record of publications in top-tier conferences and journals (e.g., NeurIPS, ICML, ICLR, AAAI, KDD, ACL)
  • Deep expertise in one or more of the following: decision-focused AI, probabilistic modeling, causal inference, simulation-based planning, agentic and multi-agent systems, neuro-symbolic AI, LLM-based reasoning
  • Strong fundamentals in deep learning, optimization, and statistical machine learning
  • Demonstrated ability to lead research projects and to provide technical direction across multiple projects and researchers
  • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or equivalent)
  • Strong communication and interpersonal skills; ability to influence across teams and present research to both technical and non-technical audiences
  • Track record of translating research into real-world impact in an industry setting

Preferred:
  • Experience as a tech lead in research
  • Active engagement with the research community (program committees, reviewing, workshops)
  • Familiarity with Intuit's product domains: tax preparation, accounting, personal finance, or small business management

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at [1] Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Bay Area California $ 226,000 - 306,000
https://www.intuit.com/careers/benefits/full-time-employees/

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