Senior Data Scientist

Criteo Corp.
Palo Alto, CA, United States
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
1 year minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Data Analysis C Sharp (Programming Language) C++ (Programming Language) Computer Programming Python (Programming Language) Machine Learning Software Engineering Scripting Information Technology Data Analytics

Job description

We are looking for a highly motivated Data Scientist to contribute to the development of our ML algorithms, with a passion for the digital ecosystem. The ideal candidate will have an extensive experience in analyzing large data sets, with outstanding skills to identify and quantify opportunities for optimizations. You must thrive in a start-up environment, be proactive, detail oriented and eager to learn and keep-up with an evolving product landscape. Experience in building machine learning models is a plus. What you will be doing:

  • Build and improve Prediction Models
  • Gather and analyze data
  • Identify key prediction problems and propose innovating solutions
  • Report, visualize and communicate results
  • Contribute to the exploration and creation of new scientific understanding (monitoring, new metrics)

Requirements

  • BS/MS in Data analysis and modeling or related Data Scientist role.
  • 5+ years of experience in software industry and a passion for technology.
  • Strong analytical background (Mathematics/ Machine Learning)
  • Computer Science background with 1+ year of programming experience in Python or another language (C#, Java, C++ or other scripting languages are all good)
  • Experience with building or leading a team

Benefits & conditions

  • Competitive Compensation
  • 100% coverage of Healthcare premium
  • Career advancement, global mobility encouraged
  • Generous Vacation policy
  • Fidelity 401(k) with company matching
  • Great office in Downtown Palo Alto
  • Fun Place to work - Snacks, Happy Hour, Ping-pong, Music Room, Cool Off-sites

About the company

At Criteo we face some of the most challenging and interesting problems in the advertising software industry. We work at a scale of speed, performance and complexity that few others in the industry have. Our dataset is about 40 petabytes in Hadoop (more than 30 TB extra per day), we take less than 10ms to respond to an ad request and we deliver billions of ads per day. To help us solve these challenges, Criteo is looking for the best of the best in terms of engineering talent within our cool and geeky environment!, + Criteo R&D Culture

  • Empowerment - We believe in bottoms-up development.
  • Mobility & Variety -In our Voyager program, engineers choose any team with whom to work for 2-4 weeks, boosting collaboration, networking and maybe even leading to switching teams.
  • Agility- We work in a fast paced environment where we release stuff frequently for nimble response to the market.
  • Multicultural -We have engineers from all over the world to interact and exchange ideas. Learn More about Criteo R&D in Palo Alto: Our blog: http://www.criteolabs.com Criteo R&D Criteo in Palo Alto Glassdoor About Criteo [CRTO] Criteo (CRTO) delivers personalized performance marketing at an extensive scale. Measuring return on post-click sales, Criteo makes ROI transparent and easy to measure. Criteo has over 2,200 employees in 30 offices across the Americas, EMEA and Asia-Pacific, serving 13,000 advertisers worldwide and with direct relationships with 17,500 publishers.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.wayup.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:04 min

Introduction to Bitcoin script parsing tools

Steve Shadders · LIVE

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · WWC 2023

1:32 min

Structuring platforms for new services and data analytics

Nevelina Aleksandrova · LIVE

2:18 min

Introduction to data science applications in the retail sector

Julian Joseph · LIVE

2:44 min

Integrating data analytics into the talent acquisition function

Kobi Kobi +1 · WWC 2025

1:53 min

Evaluating traditional scripting languages for modern development tasks

Jens Knipper Jens Knipper · Europe 2026 Virtual

Videos

See all

Related articles

See all