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Research Fellow at NTU applies advanced statistical, ML, and operations-research methods to airport and airspace capacity, delay, and sustainability using flight-trajectory and operational datasets.
Lead the product strategy for Yelp’s ad-auction, bidding, and measurement systems, balancing advertiser ROI, user experience, and revenue while partnering with engineering and data-science teams.
Owns Yelp’s core ad-auction, bidding, pricing, and budget-pacing systems, shaping the algorithms that match ads to users in real time while balancing revenue, relevance, and advertiser ROI.
Lead Roche’s Innovation Accelerator Data Science team, setting technical strategy and architecture for data-science-driven drug development projects while mentoring and scaling a multidisciplinary group of data scientists and engineers.
The Position This role is based in the Innovation Accelerator (IA) team, the innovation engine and connective tissue for Design, Data and Data Science innovation strategy within Product Development Data Sciences (PDD).…
Senior Software Engineer II - Ingestion AI Engineer Team: Engineering Location: Remote, United States Commitment: Full Time Workplace Type: remote Within Data Ingestion at Aledade we have two major problems: 1) Scale,…
Staff Data Scientist - Experimentation & Measurement Location: United States, San Mateo, CA Department: Admin (PDS) Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to…
Senior Data Scientist, Finance Department: Xero Data, AI & Machine Learning Location: AU: Melbourne: (260 Burwood Rd) Employment Type: FullTime The role & impact As a Senior Data Scientist in the Finance…
Principal, Marketing Data Science Location: US Remote Department: Marketing Empower Pharmacy is a visionary healthcare company dedicated to making quality, affordable medication accessible to millions of patients…
Principal project manager Location: India - Pune, GB: London - SJS Remote Type: This position is a hybrid of office/remote working Time Type: Full time Job Description Entity: Technology Job Family Group: IT&S…
Data Scientist, GTM & Enterprise AI Acceleration Department: Data Science Location: San Francisco Compensation: $290K – $340K • Offers Equity Employment Type: FullTime About the Team OpenAI’s GTM Data Science team…
Senior/Staff Data Scientist, Analytics Location: Berlin, Remote in Germany Department: Engineering About the Position As a Senior or Staff Data Scientist focusing on Analytics, you'll serve as the statistical…
Alaska Airlines Guided by our purpose, core values, and leadership principles, we are creating an airline people love. Our corporate teams set the strategies and operational plans to ensure the success of our company.…
About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has…
Build and deploy ML models to optimize shipping costs, credit limits, and retailer growth for a wholesale marketplace connecting local retailers with global suppliers.
Within Data Ingestion at Aledade we have two major problems: 1) Scale, 2) Variability. As an Ingestion AI Engineer at Aledade, you will be focused on the variability problem. Leveraging cutting edge AI tools you will…
You will own end-to-end data management for the Pro product domain, including production pipelines, dbt models, dashboards, and metric frameworks. You will define north star metrics, build full-funnel reporting, design…
Building the Future of Open Finance Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and…
Lead a team of data scientists to drive measurable impact across Deliveroo’s marketplace by designing experiments, applying causal inference, and translating insights into product and commercial strategies.
Lead a team of data scientists to optimize Deliveroo's delivery network, balancing rider supply, consumer demand, and operational efficiency using experimentation and machine learning.
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