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21 jobs found
Remote - IndiaIndia & South Asia
As a senior engineer, you will work across the full stack of our systems: foundational processing and storage, scalable pipelines, and the frameworks and internal tools…
Data Science is an integral component of Coinbase’s product and decision making process: we work in partnership with Product, Engineering and Design to influence the…
As a Senior Risk Analyst on the Payments Risk Operations team, you'll serve as the escalation point for our most complex and high-impact risk cases across deposits…
We sit at the intersection of data engineering, data science and business analytics: we own the source-of-truth financial datasets in Snowflake/Databricks, the pipelines…
Complaints Analyst on the Complaints Quality Control team within Customer Experience, you'll audit post-QC and dispute-related cases across Consumer Complaints…
In this role, you will use data analysis, experimentation, and statistical modeling to identify, assess, and launch a broad range of new initiatives and product features…
As a Complaints Analyst on the Global Complaints team within Customer Experience, you'll investigate and resolve consumer, regulatory, and litigation support complaints…
New York, NY (Hybrid)North America
As a Senior Program Analyst - GTM Ops, you'll own the technical layer that makes Revenue Growth actually run. Working within Spotify's broader data infrastructure…
Colombia, Huila, Colombia; São Paulo, BrazilLatin America
You'll do this primarily by building the machine learning that detects sensitive entities in text and image data and replaces them consistently at scale.
As an Enterprise Risk Management Analyst, you'll sit at the intersection of risk, data, and strategy, supporting core ERM activities while using data and technology to…
This is a backend role focused on data management, working on the problems at the core of any large data platform: running a data catalog that stays accurate at scale…
We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training.