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Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. Design, prototype, build and deploy NLP systems that extract valuable insights from league data, historical matchups, open source data, etc.
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Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Advanced proficiency with data, analytics, and visualization technologies (we use SQL, Looker, and Python.
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Cash App is hiring a Staff Data Scientist to establish and scale a first line risk management program. Responsible for the entire analytics process, including problem definition, developing metrics, data extraction and manipulation, visualization, and the creation and implementation of analytical/statistical models.
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Serve as a subject matter expert and implementation lead for application of open-source R and python ML modeling libraries to clinical trial data and real world data (from external partners, publicly available data or consortia data.
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The Cash App Support organization is growing and we are looking for a Data Scientist (DS) to join the team. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
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The Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day. Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc.
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4+ years of professional experience as a data scientist in the SaaS industry. Experience with dbt or similar analytics workflow tools a big plus. We are a top-notch data organization with a great culture and have the same high standards with our code, systems, practices, and people.
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The MosaicAI Runtime team develops and maintains the LLM Foundry, Composer, and StreamingDatasets open source projects, which power deep learning training for Databricks customers and MosaicAI Research.
$192,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning.
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They will be responsible for leveraging data to enable robust testing and monitoring processes and risk management strategies against existing risks across Cash App's ecosystem, as well as new and emerging risks.
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Our team leverages cutting-edge open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg to build and maintain a scalable, high-quality data ingestion framework.
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Demonstrated leadership in translational sciences (employing pharmacodynamic, predictive and exploratory biomarkers) and experience with development of assays including ligand binding assays, IHC/IF, gene expression profiling, flow cytometry.
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Sidekick is an open source ETL framework for syncing data between SaaS tools (Salesforce, Zendesk, Notion, etc) to vector stores, a necessary step in building GPT powered applications.
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If you have a passion for the latest open source technologies, cloud-native development, data center technologies such as Kubernetes and computer networking, you will love the Alliances Consultant role at Canonical.
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Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence.
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data scientist open source predictive analytics jobs in San Francisco, CA
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