You’ll be a core part of a growing data team that operates similar to internal consultants. You’ll plug into high-impact initiatives across the business by helping partner teams unlock efficiency and growth through data. You’ll work cross-functionally with GTM, Product, Operations, and other teams to uncover insights, build tools and dashboards, and drive strategic recommendations.
The ideal candidate will have some research experience with either an advanced degree or work experience outside a pure academic context, working with cross-functional teams to define business problems, determine data and methods, build/execute analyses, and present results to stakeholders. Responsibilities include balancing business goals with statistical, technical, and data constraints, and integrating AI into your work.
Manage and oversee complex studies, build strong relationships with diverse teams, and demonstrate your ability to make sound decisions and solve problems effectively. You will be responsible for the execution of customized projects and ensuring support for offshore teams and analysts, implementing and developing new tools and initiatives driven by commercial teams and showcase your decision-making skills.
This is a unique opportunity to help develop and shape Spotify recommendations. You’ll grow your skills in engineering at scale, work with a cross-functional team of Machine Learning Engineers, Backend Engineers, Data Engineers, and researchers, and join a super motivated and supportive team. You'll work with large-scale data pipelines and develop new data pipelines to meet emerging needs. You will also collaborate with other engineers to develop monitoring tools.
Help lead the growing backend engineering team at StackAdapt. Architect scalable low-latency backend systems and data pipelines. Write code as needed to support the team. Lead and mentor a team of talented engineers within the backend distributed systems team; make a positive impact on the team's productivity and growth.
Work with a team of engineers to build first-party and third-party data integration with external data sources. Build and architect scalable low-latency backend systems and big data pipelines. Provide technical guidance in designing scalable solutions and best practices. Make a positive impact on the team's productivity and growth.
We're looking for a Data Engineer to help lead Data Engineering and Analytics Runway. The person in this role will own the data pipeline, build and optimize ETL processes, design and implement a modern data warehouse architecture, and develop data models. This role requires collaboration with ML Engineers, infrastructure engineers, and product managers to identify data requirements.