Open roles in Data & Analytics teams, from every company on the board.
20 jobs found · Data & Analytics
We are looking for a hands-on SDE-II – Data Engineer to join InMobi’s Demand-Side Platform (DSP) team. This role is ideal for an engineer with strong fundamentals in…
Data Science at Stripe is a vibrant community where data scientists and data analysts learn and grow together. You'll be the senior quantitative lead for FX within…
We’re looking for a high-performing SDE-III with deep backend engineering expertise and strong foundations in data engineering that power the SSP Exchange team – a…
Remote, United StatesNorth America
As a Data Scientist at GitLab on the Enterprise Analytics team, you’ll be a trusted analytical partner to Sales, Revenue Operations, and Finance, helping define how we…
We are looking for a Staff Applied Science Manager to lead and grow a team of talented data scientists who have direct impact on our company metrics.
Remote, United StatesNorth America
As Senior Manager, Data Science, you'll lead Product Data Science: a team of 6 Data Scientists within GitLab's data organization, reporting to the Director of Data…
As a Software Engineer, you'll design and build platforms and system solutions that are configurable and scalable around the globe.
We're looking for a senior applied research scientist with experience in developing novel ML techniques and architectures and with a strong interest in working across a…
Through its ecosystem of businesses — including InMobi Advertising and flagship consumer platform Glance — InMobi leverages data, machine learning, and generative AI to…
Remote · New York, NYNorth America
We're looking for a senior applied research scientist with experience in developing novel ML techniques and architectures and with a strong interest in working across a…
Experience & Skills 7–10 years in distributed systems /data engineering. Proficient in Java, Spark, Python, Shell, Kubernetes, CI/CD, Terraform, observability tools, and…
Remote · New York, NYNorth America
Within this space, our research team focuses on advancing the state of the art in machine learning and AI to shape the future of personalization.