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Senior / Principal Data Scientist,Matchmaking

IntelliPro

San Mateo · On-site Full-time Senior $350k – $400k/yr 2w ago

About the role

Job Title

Senior / Principal Data Scientist, Matchmaking

Position Type

FTE

Location

United States

Salary Range

Base USD $ 350,000-400,000

Job ID#

166021

Company Overview

Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU.

IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at https://intelliprogroup.com/.

Role Overview

We’re partnering with a leading global consumer platform that operates at massive scale, connecting tens of millions of users with dynamic digital experiences in real time.

This role sits at the core of the platform’s matching and allocation engine — where advanced optimization, large‑scale systems, and user experience intersect.

You will be solving problems similar to:

  • Real-time resource allocation at global scale
  • Marketplace / matching system optimization
  • Multi-objective trade‑offs between efficiency, fairness, and engagement

If you are interested in building systems that directly shape how millions of users connect and interact, this is a rare opportunity to work on one of the most complex real‑time matching systems in the industry.

Responsibilities

  • Design and optimize large‑scale real‑time matching algorithms across millions of users and dynamic supply
  • Define core matchmaking KPIs and drive measurable improvements in user engagement and system efficiency
  • Build end‑to‑end optimization pipelines, from modeling → deployment → monitoring
  • Develop advanced models using operations research, statistical modeling, and machine learning
  • Run experimentation and causal inference to validate system improvements
  • Partner with engineering & infrastructure teams to ensure low‑latency, high‑throughput production systems
  • Influence product and platform strategy as a technical thought leader in optimization systems

Requirements

  • Advanced degree (PhD preferred) in Operations Research, CS, Statistics, Applied Math or related fields
  • 6+ years experience in large‑scale optimization systems, such as:
    • marketplace / matching systems
    • ads / bidding / pricing systems
    • ride‑sharing / logistics allocation
  • Strong hands‑on experience with:
    • mathematical modeling & optimization
    • production deployment of algorithms
    • high‑throughput / real‑time systems
  • Experience in resource allocation, dynamic pricing, or auction systems
  • Ability to translate complex models into business impact and engineering execution
  • Comfortable working cross‑functionally with engineering + product + infra teams

Compensation

The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility.

Requirements

  • Advanced degree (PhD preferred) in Operations Research, CS, Statistics, Applied Math or related fields
  • 6+ years experience in large-scale optimization systems, such as: marketplace / matching systems, ads / bidding / pricing systems, ride-sharing / logistics allocation
  • Strong hands-on experience with: mathematical modeling & optimization, production deployment of algorithms, high-throughput / real-time systems
  • Experience in resource allocation, dynamic pricing, or auction systems
  • Ability to translate complex models into business impact and engineering execution
  • Comfortable working cross-functionally with engineering + product + infra teams

Responsibilities

  • Design and optimize large-scale real-time matching algorithms across millions of users and dynamic supply
  • Define core matchmaking KPIs and drive measurable improvements in user engagement and system efficiency
  • Build end-to-end optimization pipelines, from modeling → deployment → monitoring
  • Develop advanced models using operations research, statistical modeling, and machine learning
  • Run experimentation and causal inference to validate system improvements
  • Partner with engineering & infrastructure teams to ensure low-latency, high-throughput production systems
  • Influence product and platform strategy as a technical thought leader in optimization systems

Skills

machine learningmathematical modelingoptimization

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