Advantages of contracting with us: You'll be able to choose which projects you want to work on and when You work on your own schedule, on your own computer, from the comfort of your own home Projects are paid hourly starting at USD $50-$60 per hour, with bonus rates available on some projects Re
Responsibilities include designing and implementing data warehouse infrastructure, data structures, batch and real-time data pipelines, predictive analytics and machine learning models using Google Cloud Platform (GCP), translating data and model results into strategic insights for leadership and bu
The International Society for Bayesian Analysis invites applications for multiple Postdoctoral Scholar positions at the University of Washington, Seattle. Scholars will engage with a variety of interdisciplinary projects aimed at advancing research in statistics and data science, addressing crucial
As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. Design, develop, and launch a new program to help construction teams turnover data centers. Foster optimization and speed while collecting, analyzing, and
Prime Video & Amazon MGM Studios seeks a Data Engineering Manager in Seattle to lead Data Engineering in the US Planning & Audience Insights team. The successful candidate will have substantial experience in data engineering, team management, and data processing technologies like Redshift. This role
Required skills: Product Management, Data Analysis. Senior Product Manager (Technical). We are seeking a Senior Product Manager (Technical) with 5+ years of experience to join our dynamic and growing client marketplace team.
Dataflow is Google Cloud Platform (GCP's) highly differentiated data processing product for both batch and streaming data and a core component of the Data Cloud. The Dataflow team has a history of innovation in the data processing space including MapReduce (OSDI Paper), Flume (PLDI Paper), MillWheel
Working experience in advanced analytics, which includes SQL analysis of complex datasets, competitive analysis, quantitative analysis & research (Required). Acceptable areas of study include Data analysis, data science, similar quantitative fields or equivalent practical experience (Required). Prov