below marketmost similar roles pay hereabove market
This role pays more than
78%
of similar roles. Most pay
$161,600–$214,900
— the blue band above.
At the midpoint, this role pays about
$222k
versus about
$188k
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
224 open roles
on FindRole.
Listed pay typically runs
$202,500–$274,000
across 203 roles with salary data.
The Manager 2, Data Science - Intuit Customer Success joins the Intuit Customer Success Data Science & Analytics team to lead a group of data scientists measuring expert-driven service excellence. This role focuses on optimizing the CG expert workforce by overseeing measurement strategies for conversion initiatives, operational capabilities, training efficacy, quality adherence, and labor optimization. You will build a measurement backbone to optimize end-to-end service excellence, specifically targeting conversion and customer-serving time outcomes. Key responsibilities include advancing causal inference, establishing experimentation methodologies, and developing a cross-signal causal-graph decision engine. Required skills include proficiency in SQL, Python, and AI/ML or GenAI tools. You must possess expertise in advanced statistical analysis, including A/B testing, propensity scores, and difference-in-differences, to solve complex business problems within the service platform.
Own the measurement strategy for expert service pillars including conversion, operational capabilities, training, and labor optimization.
Advance causal inference and experimentation to establish relationships between service guidance, expert behavior, and business outcomes.
Contribute to a cross-signal, causal-graph decision engine to size the impact of various business levers.
Build and govern a training efficacy framework that connects learning investments to expert quality and business results.
Lead and develop a team of data scientists by coaching their technical and strategic skill sets.
Translate business strategies into short-term and long-term projects while managing end-to-end execution.
Drive the data roadmap from data quality to visualization and construct models for end-to-end service measurement.
Activate analytics insights to drive business decisions and evangelize innovative analytics ideas.
What we're looking for
Bachelor's or Master's Degree in a quantitative field such as Statistics, Computer Science, Engineering, Economics, or Operations Research.
7+ years of diverse analytics and data science experience, including product analytics and customer/expert experience analytics.
Proven experience leading a team of analysts and/or scientists.
Hands-on experience with advanced statistical analysis, controlled experimentation (including A/B testing of hierarchical mixed effects), and applied data science.
Hands-on experience with Causal Inference methods such as Propensity Score, DiD, and Synthetic Control.
Experience designing quality and experience metrics and connecting them to business KPIs like conversion and service time.
Proficiency with SQL and Python.
Experience applying AI/ML and GenAI tools to accelerate analysis and workflows.
Python
SQL
AWS
Pytorch
Hugging Face
LangChain
Lightning
VectorDBs
Natural Language Processing
Large Language Models
Machine Learning
Scala
R
Relational Databases
RLHF
Self-supervised Learning
Model Risk Compliance