Intuit

Senior Staff Data Scientist - Causal Inference

Intuit

Remote
Full-TimeDepends on ExperienceMid-LevelPhd or Professional
Job Description

Are you a highly experienced data scientist with a passion for solving complex problems and driving business impact? Do you have a strong background in causal inference and a track record of delivering actionable insights? If so, we have an exciting opportunity for you to join our team as a Senior Staff Data Scientist - Causal Inference at Intuit.As a Senior Staff Data Scientist, you will be responsible for leading and executing key data science initiatives, leveraging advanced statistical and machine learning techniques to uncover causal relationships and drive strategic decision-making. You will collaborate with cross-functional teams and stakeholders to identify business opportunities, design experiments, and deliver data-driven solutions that will have a direct impact on our products and customers.To excel in this role, you must have a proven track record of delivering complex data science projects in a fast-paced environment, along with a deep understanding of causal inference methods and their application to real-world problems. We are looking for a strong communicator with excellent problem-solving skills and a passion for continuous learning and innovation. If this sounds like you, we would love to hear from you!

  1. Lead and execute key data science initiatives, utilizing advanced statistical and machine learning techniques to uncover causal relationships and drive strategic decision-making.
  2. Collaborate with cross-functional teams and stakeholders to identify business opportunities and design experiments that will result in actionable insights.
  3. Deliver data-driven solutions that have a direct impact on our products and customers.
  4. Utilize a strong background in causal inference to develop and implement innovative data science solutions.
  5. Communicate complex data science concepts and findings to non-technical stakeholders in a clear and concise manner.
  6. Stay up-to-date with industry trends and advancements in causal inference methods, and apply them to real-world problems.
  7. Lead and mentor junior data scientists, providing guidance and support for their professional growth.
  8. Continuously monitor and evaluate the effectiveness of data science initiatives, making recommendations for improvements and optimizations.
  9. Manage and prioritize multiple projects and deadlines in a fast-paced environment.
  10. Act as a subject matter expert on causal inference methods and their application to solve complex business problems.
  11. Collaborate with other data scientists and analysts to develop best practices and share knowledge and insights.
  12. Conduct in-depth analyses and present findings and recommendations to senior leadership.
  13. Drive a culture of continuous learning and innovation within the data science team.
  14. Adhere to data privacy and security protocols and ensure compliance with relevant laws and regulations.
Where is this job?
This job opening is listed as 100% remote
Job Qualifications
  • Advanced Degree In Statistics, Mathematics, Or A Related Field, With A Focus On Causal Inference And Experimental Design.

  • Minimum Of 5 Years Of Experience In A Data Science Role, Preferably In A Fast-Paced Corporate Environment.

  • Expertise In Machine Learning Techniques And Statistical Analysis, With A Strong Understanding Of Causal Inference Models Such As Regression, Propensity Score Matching, And Instrumental Variables.

  • Proficiency In Programming Languages Such As Python, R, Or Sql, And Experience With Data Visualization Tools.

  • Strong Communication Skills, With The Ability To Effectively Communicate Complex Analytical Concepts And Insights To Non-Technical Stakeholders.

Required Skills
  • Sql

  • Python

  • Data Analysis

  • Big Data

  • Machine Learning

  • Data Visualization

  • Experimental design

  • Statistical modeling

  • Predictive analytics

  • Time series analysis

  • Bayesian Statistics

  • R programming

Soft Skills
  • Communication

  • Conflict Resolution

  • Emotional Intelligence

  • Leadership

  • Time management

  • Interpersonal Skills

  • Critical thinking

  • Teamwork

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Senior Staff Data Scientist - Causal Inference is between $130,000 - $180,000 per year. However, this can vary depending on factors such as location, company, and level of experience. Additionally, bonuses and benefits may also impact the overall salary package for this role.

Additional Information
Intuit is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedNovember 18th, 2025
Apply BeforeApril 15th, 2026
This job posting is from a verified source. 
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About Intuit

Intuit Inc. is an American business and financial software company that develops and sells financial, accounting, and tax preparation software and related services for small businesses, accountants, and individuals. The company operates through the following segments: Small Business, Consumer Tax, and ProConnect. The Small Business segment targets small businesses and the accounting professionals. It offers QuickBooks financial and business management online services and desktop software; payroll solutions; and payment processing services. The Consumer Tax segment includes TurboTax income tax preparation products and services. The ProConnect segment provides professional tax offerings, which include Lacerte, ProSeries, ProFile, and ProConnect Tax Online among professional accountants in the U.S. and Canada.

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