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Jing Hu Email & Phone Number

Staff Data Scientist and Tech Lead at Intuit
Location: United States, United States, United States 5 work roles 2 schools
1 work email found @intuit.com 2 phones found area 877 LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 2 phones

Work email j****@intuit.com
Direct phone (877) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Staff Data Scientist and Tech Lead
Location
United States, United States, United States
Company size

Who is Jing Hu? Overview

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Quick answer

Jing Hu is listed as Staff Data Scientist and Tech Lead at Intuit, a company with 17010 employees, based in United States, United States, United States. AeroLeads shows a work email signal at intuit.com, phone signal with area code 877, and a matched LinkedIn profile for Jing Hu.

Jing Hu previously worked as Staff Data Scientist / Tech Lead at Intuit and Data Scientist at Stitch Fix. Jing Hu holds Phd, Mathematical Sciences With Focus On Operations Rearch from Rensselaer Polytechnic Institute.

Company email context

Email format at Intuit

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{first}_{last}@intuit.com
89% confidence

AeroLeads found 1 current-domain work email signal for Jing Hu. Compare company email patterns before reaching out.

Profile bio

About Jing Hu

• Experienced machine learning, data science, and AI practitioner with proven track record of successful project leadership• Recognized applied and academic researcher with numerous publications and presentations in top-tier journals and conferences• Creative self-starter, skilled communicator, and collaborative team player with a natural interest in applications of technology

Listed skills include C++, C, Data Mining, Optimization, and 14 others.

Current workplace

Jing Hu's current company

Company context helps verify the profile and gives searchers a useful next step.

Intuit
Intuit
Staff Data Scientist and Tech Lead
United States
Website
Employees
17010
AeroLeads page
5 roles · 15 years

Jing Hu work experience

A career timeline built from the work history available for this profile.

Staff Data Scientist And Tech Lead

United States

Staff Data Scientist / Tech Lead

Current

Mountain View, California, US

  • Led team of data scientists and machine learning engineers in improving the QuickBooks New User Experience through adoption of Generative AI technologies and applications of Intuit’s existing machine learning.
  • Defined team’s quarterly roadmaps in partnership with product and engineering leaders
  • Developed AI Planner to orchestrate specialized AI agents in response to customer queries
  • Built extensible framework and recommendation models for generating Business Insights for customers based on their business and accounting records (recognized with Intuit’s 2023 Scott Cook Innovation Award for this work)
  • Collaborated with university researchers at UT Austin on developing cutting edge methodologies for Hierarchical Time Series Forecasting and their applications to reconciling cash flow forecasts at various levels
  • Invented patent-pending approaches for robustly generating insights for customers via clustering and performance analysis
2020 - Present ~6 yrs 5 mos

Data Scientist

San Francisco, CA, US

  • Implemented Python based contextual bandit models to algorithmically select items for quality assurance inspection
  • Designed real-time/online experiments validating dollar value lift of the contextual bandit QA model
  • Secured allocation of engineering and computational resources across team lines required to drive project’s success
2019 - 2020 ~1 yr

Senior Data Scientist

San Mateo, CA, US

  • Optimized company’s B2B lead scoring platform through research and creative application of machine learning methods
  • Created tools, applications, and Spark SQL pipelines to automate data processing, feature selection, and model evaluation
  • Drove new client acquisition via superior performance on Proof-Of-Concept (POC) projects and client-facing presentations
2015 - 2019 ~4 yrs

Quantitative Researcher And Consultant

US

  • Built customizable models to optimize both C-curved diminishing ROIs and S-shaped logistic ROI’s
  • Enhanced allocation of marketing mix elements across media channels and product categories through algorithmic optimization
  • Created combinatorial model to optimize decisions on product line rationalizations
2011 - 2015 ~4 yrs
Team & coworkers

Colleagues at Intuit

Other employees you can reach at intuit.com. View company contacts for 17010 employees →

2 education records

Jing Hu education

Phd, Mathematical Sciences With Focus On Operations Rearch

Rensselaer Polytechnic Institute

Bs, Electrical Engineering

Beijing University Of Posts And Telecommunications
FAQ

Frequently asked questions about Jing Hu

Quick answers generated from the profile data available on this page.

What company does Jing Hu work for?

Jing Hu works for Intuit.

What is Jing Hu's role at Intuit?

Jing Hu is listed as Staff Data Scientist and Tech Lead at Intuit.

What is Jing Hu's email address?

AeroLeads has found 1 work email signal at @intuit.com for Jing Hu at Intuit.

What is Jing Hu's phone number?

AeroLeads has found 2 phone signal(s) with area code 877 for Jing Hu at Intuit.

Where is Jing Hu based?

Jing Hu is based in United States, United States, United States while working with Intuit.

What companies has Jing Hu worked for?

Jing Hu has worked for Intuit, Stitch Fix, Lattice Engines, and Nielsen Marketing Analytics.

Who are Jing Hu's colleagues at Intuit?

Jing Hu's colleagues at Intuit include Shesha Chandrika Moka, Delena Hudson, Ea, Ojashwani Singh, Taraneh Taghavian, and Kathiravan Tamilvanan.

How can I contact Jing Hu?

You can use AeroLeads to view verified contact signals for Jing Hu at Intuit, including work email, phone, and LinkedIn data when available.

What schools did Jing Hu attend?

Jing Hu holds Phd, Mathematical Sciences With Focus On Operations Rearch from Rensselaer Polytechnic Institute.

What skills is Jing Hu known for?

Jing Hu is listed with skills including C++, C, Data Mining, Optimization, Algorithms, Matlab, Analysis, and Programming.

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