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Our data warehouse, based on S3 and Redshift, has petabytes of data and forms the base of many data products we have at TuneIn. The data platform is at the core of TuneIn success.
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TuneIn offers competitive salary, bonus, and equity compensation packages. You will drive and deliver the ongoing vision for big data warehouse and data governance initiatives. + Understand the Data Lifecycle and concepts such as lineage, governance, privacy, retention, anonymity, etc.
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In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. The Data Infrastructure organization owns the infrastructure, services, and pipelines that transport and process data from all of Asana’s product surfaces, providing data to stakeholders in Data Science, Business, and Product teams.
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The Eric and Wendy Schmidt Center for Data Science & Environment (DSE) at UC Berkeley, along with an opportunity from our partners in the James M. and Cathleen D. Stone Center for Large Landscape Conservation, is accepting applications from recent PhDs in environmental science and/or data science fields interested in providing domain specific research that informs the development of data enabled solutions to our most pressing environmental challenges.
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We're building the world's most advanced healthcare platform from the ground up, combining hardware, software and doctors under one roof.
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This may include base salary, equity grants, incentive compensation for eligible roles, professional development, flexible PTO, and tenure rewards. The ideal candidate will make it their mission to master road mapping and execution across our three verticals; you'll master ideation and have a sharp eye for prioritization while leveraging customer insights and working closely with our Go-To-Market, Engineering, Data Science, and Technical Product Management teams.
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The Associate Director of California River Restoration and Data Science will help American Rivers compile and analyze watershed and species data to evaluate the most pressing climate challenges our rivers face.
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BS, MS, or PhD degree in Computer Science, Data Science, Economics, Statistics, Computational Biology, BioInformatics, or equivalent experience. You have a strong background in data science, graph mining, and graph simulations.
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Bachelor's or Master's degree in Computer Science or equivalent, with over 12 years of Data Architecture and Data Engineering experience, including team leadership. Our team is responsible for enabling Hims & Hers business (Product, Analytics, Operations, Finance, Data Science, Machine Learning, Customer Experience, and Engineering) by providing a platform with a rich set of data and tools to leverage.
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8+ years of experience in Data Analytics, Data Science, Product Management, Business Intelligence, Business Operations or other quantitative disciplines. Be a close business partner and credible advisor to Jerrys entire leadership team by connecting the dots between data, insights and impact.
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GSPP leads the way in addressing the problem of inequality in America, improving democratic institutions and governance, dealing with climate change and ensuring environmental justice, thinking about the future of higher education, ensuring health and fair employment in the food sector, and using data science and big data to solve public policy problems.
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Bachelor degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area. Base salary: $133,000-180,000.
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10+ years of experience in data engineering, data science, and software engineering. Final salary and offer will be determined by the applicant’s background, experience, skills, internal equity, and alignment with market data.
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The base salary range for this role is between $180,000 and $245,000. As a Data Scientist you should be comfortable discussing statistical and machine learning methodology and have significant experience with Machine Learning systems, working with the details of algorithms, not just the tools' application.
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You will collaborate with the ALS Photon Science Development (PSD) and ALS Photon Science Operations (PSO) groups to create data orchestration tools, manage data and metadata, apply data analysis algorithms, and develop user-facing applications adhering to FAIR (Findable, Accessible, Interoperable, and Reusable) principles.
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