About the Company:
LHH is seeking a Principal Data Scientist to join our client's team in San Francisco, CA (hybrid).
We are looking for an experienced Principal Data Engineer with a strong background in machine learning and a proven track record in the AdTech sector. The ideal candidate will lead our data engineering efforts, focusing on developing and optimizing our data pipelines for machine learning models to enhance our advertising technology solutions. You will lead the effort in driving our data strategy, to enable the next generations of Machine Learning models to drive our Ad Business.
Qualifications:
Responsibilities:
Welcome to LHH!
We're a global leader in HR solutions that future-proofs organizations and careers worldwide. Our Advisory, Career Transition & Mobility, Leadership Development, and Recruitment Solutions enable transformation, and our job is never done because there’s always another tomorrow to prepare for.
We make a difference to everyone we work with, and we do it with local expertise, backed by a global infrastructure and industry-leading technology.
Our over 8,000 colleagues and coaches span 66 countries worldwide, working with more than 15,000 organizations, a majority of Fortune Global 500, and nearly 500,000 candidates each year. Together we address needs across the entire talent journey, helping organizations build their capabilities and individuals build brighter futures.
There is a world of opportunity out there. Let’s get to work.
California, United States (Hybrid)
California, United States (On-Site)
Maryland, United States (Hybrid)
California, United States (On-Site)
Guangdong Province, China (On-Site)
Shanghai, China (On-Site)
Auvergne-Rhône-Alpes, France (Hybrid)
Île-de-France, France (Hybrid)
England, United Kingdom (On-Site)
British Columbia, Canada (Hybrid)
Victoria, Australia (Hybrid)
Michigan, United States (On-Site)
Quebec, Canada (On-Site)
Nevada, United States (Hybrid)
California, United States (On-Site)
North Carolina, United States (On-Site)
Michigan, United States (On-Site)
Florida, United States (Remote)
Nevada, United States (Hybrid)
Nevada, United States (On-Site)
Indiana, United States (Hybrid)
Nevada, United States (Hybrid)
Nevada, United States (On-Site)
Auvergne-Rhône-Alpes, France (Hybrid)
Stockholm County, Sweden (On-Site)
Berlin, Germany (Hybrid)
Remote Us (Remote)
Community Of Madrid, Spain (On-Site)
Catalonia, Spain (Hybrid)
Québec, Canada (On-Site)
Quebec, Canada (On-Site)
Ontario, Canada (On-Site)
North Carolina, United States (On-Site)