Senior Data Scientist

Intuit

Quick summary

Work type: On-site
Location: Mountain View, CA
Salary: $162,500–$220,000 / yr
Posted: 30 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $156k

This role $191k

$88k most similar roles pay here $234k

This role pays more than 77% of similar roles. Most pay $126,800–$184,900 — the shaded band above. At the midpoint, this role pays about $191k versus about $156k for comparable roles.

Based on 240 similar postings.

Employer

About Intuit

Intuit is a financial software company known for products like TurboTax, QuickBooks, Mint, and Credit Karma, helping consumers and small businesses manage their finances and taxes. Industry: Financial Software & Technology

Intuit currently has 113 open roles on FindRole.

Listed pay typically runs $199,750–$270,500 across 106 roles with salary data.

Most-posted roles

View all roles at Intuit

At a glance

TL;DR · Senior Data Scientist

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Join the Intuit Finance Data Science & Strategy team as a Senior Data Scientist, where you will drive data-backed strategic initiatives within the Consumer Group. You’ll collaborate with finance strategy, FP&A, and data engineering teams to deliver insights that enhance business performance through predictive modeling, advanced analytics, and causal inference methods. Your daily tasks include performing end-to-end analytics using SQL, ML, and AI, creating visualizations in Tableau, and communicating findings to stakeholders. Ideal candidates have 4+ years of experience with a strong background in data science, proficiency in SQL, BI tools like Tableau, and programming skills in Python or R. A deep understanding of advanced statistical modeling, machine learning methodologies, and the ability to translate business strategy into actionable insights are crucial. Experience with consumer finance platforms and financial concepts is beneficial.

Skills

SQL Redshift Spark Hive BigQuery Tableau Python R Machine Learning Causal Inference Data Visualization BI Tools Advanced Analytics GenAI CI/CD

What you'll do

Develop predictive models and causal inference methods to identify business growth opportunities.
Conduct end-to-end analytics using advanced SQL, ML, and AI to extract valuable business insights.
Utilize data visualization tools like Tableau to uncover key business insights and enhance team automation.
Communicate complex business insights effectively to influence decision-making across various stakeholders.
Stay updated with trends in data analytics to drive innovation and improve business processes continuously.

What we're looking for

4+ years of experience using analytics to drive significant business impact.
Advanced proficiency in SQL and big data technologies like Redshift, Spark, Hive, BigQuery.
Strong skills in Python or R for building ML and GenAI models.
High-level understanding of advanced statistical modeling and causal inference techniques.
Ability to translate business strategy into testable hypotheses and insights effectively.
Excellent communication and collaboration skills across technical and cross-functional teams.
Bachelor’s degree in a quantitative field; Master’s Degree preferred.

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