Senior Manager, Data Science

  • San Diego, CA
  • Posted 32 days ago | Updated 8 hours ago

Overview

On Site
Full Time

Skills

Financial technology
QuickBooks
MailChimp
Analytical skill
Deep learning
Computer science
Statistics
Mathematics
Econometrics
Operations research
Physics
Art
Team leadership
Data mining
Clustering
Regression analysis
Decision trees
Algorithms
Natural language processing
Attention to detail
Mentorship
Artificial intelligence
Machine Learning (ML)
Consumer goods
Leadership
Analytics
IT management
Strategy
Data Science
Statistical models
Testing
Data
Research

Job Details

Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit is seeking a Senior Manager, Data Science to join Intuit AI team.

Come join our collaborative and creative group of data scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches. We are waiting for you to join us and do the best work of your life.

Qualifications

  • BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Econometrics, Operations Research, Physics, etc.)
  • 2+ plus years experience as an established technical leader/Manager of data science teams that have successfully delivered data-driven software products.
  • Innovative and disruptive technology leader solving long term strategic outcomes
  • Expert command of AI and machine learning, statistical modeling, state-of-the-art tools, and engineering best practices
  • Experience in leading teams who have expertise in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, anomaly detection, recommender systems, and natural language processing.
  • Impeccable attention to detail and strong ability to convert complex data into insights and action plans
  • Strategic thinker, flexible problem solver, great listener and team orientation
  • Able to effectively communicate a vision and inspire others to innovate
  • You thrive on ambiguity and enjoy the frequent pivoting that's part of the exploration. You are extremely passionate about applying practically Machine Learning to real customer problems, powering the next generation experiences for large scale applications.


Responsibilities

  • Lead and create a team of data scientists
  • Mentor and hire the best data scientists in the valley
  • Apply artificial intelligence and machine learning techniques to solve complex questions or fuel new business opportunities
  • Deliver breakthrough benefits to Intuit users/customers across small business & consumer products using individual, enriched, and aggregated data
  • Provide leadership in advanced engineering, data science and analytics in the development of current or future products or technologies
  • Provide technical leadership across multiple teams, by understanding a key technology space deeply enough to help guide strategy
  • Provide/inspire data science innovations that fuel the growth of Intuit as a whole
  • Understand and teach proven methods and hacking skills in working with divergent data types at scale, to explore and extrapolate data-driven insights using advanced, predictive statistical modeling and testing applied to data acquired and cleansed from a range of sources
  • Provide to business stakeholders the entrepreneurial guidance essential for appropriately interpreting and building on findings, and fully exploiting the insights revealed through the research
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.