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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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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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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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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. You care deeply about the quality of your work and our data. Experience with dbt or similar analytics workflow tools a big plus.
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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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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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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.
$180,000 - $275,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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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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data scientist quality open source predictive analytics jobs in South San Francisco, CA
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