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Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
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Our team is responsible for building data and analytics services to improve our Motion Planning team’s Machine Learning Platform. Collaborate closely with ML modeling teams across motion planning, systems engineering, and other autonomy groups to define ML workflow requirements and build critical data services.
$168,000 - $252,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Experience in high-performance data center or similar ASIC verificationGood knowledge on ASIC design and verification methodologies and flowsHand-on experience: System Verilog, C. You'll have relentlessly high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve our products' performance, quality and cost.
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Improve our tools for data analytics, visualization, governance, and lineage (e.g. Databricks, Redash, Amundsen, Marquez, etc.) From distributed data processing with Apache Spark to full stack web development on the Experimentation UI, to building and maintaining Kubernetes applications, you’ll have the opportunity to wear many hats and create outsized impact.
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Utilize SolidWorks and PLM software to manage product data, including CAD models, drawings, BOMs, and engineering change orders (ECOs). Collaborate closely with cross-functional teams including design engineering, supply chain, quality assurance, and Contract Manufacturers to facilitate seamless NPI process.
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Experience in developing an end-to-end AWS native platform for building Data lakes ( S3, Glue (Crawlers, ETL, Catalog), IAM, CodePipeline, CodeCommit, CloudTrail, CloudWatch, AWS Config, Guard Duty, Secrets Manager, KMS, EC2, Data Visualization Tool like Tableau run on an EC2 or AWS Quicksight, Athena.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Proven expertise in building supervised learning models, with a focus on image analysis and biological data analysis, including proteomics and/or metabolomics. Experience of ML utilization for classification, regression, and clustering of highly complex metabolomic and/or proteomics data is also desired.
$176,000 - $215,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Knowledge of data mining and analytic methods such as Clustering / Cluster Analysis, Factor Analysis, Regression Models, Logistic Regression, Predictive Modeling, optimization models, etc. As the Growth Marketing Analyst, you will provide insights through the analysis of the vast amount of data captured by Quince, and develop actionable strategies that will help us allocate marketing resources to activities that yield the best results.
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Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area; PhD degree preferred. Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products.
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Our design and architecture draw inspiration from many state-of-the-art systems in the big data space and we learned best practices from Druid, Scuba, Dremel, and other open-source projects(Apache Arrow, Apache IceBerg, etc) to build our own query engine.
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Experience with data-intensive applications, big data pipelines and analytics, having used tools such as Snowflake, DataBricks, Amplitude and Looker. These services drive everything in our platform from personalized workout recommendations to dynamic media generation and distribution, and analytics based on the largest and most advanced fitness data set in the world.
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Demonstrate considerable knowledge and analytical abilities by leading the development of quantitative data analysis and data mining solutions in support of forensic investigations, litigation, and/or in response to regulatory compliance-related inquiries emphasizing the development of database-driven reports to deliver high-quality services while improving client business results.
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Deliver interventional treatments including TMS, Esketamine (Spravato), and Ketamine Infusion Therapy and work closely with experienced clinical leadership team that has been applying innovative treatment protocols for years supported by positive patient outcome data.
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Strong interest and expertise in bioinformatics and large-scale data analysis (e.g., metabolomics or other ‘omics), sickle cell disease, metabolism preferred. Perform all study activities, including managing clinical and study data, in accordance with HIPAA, Institutional Review Board approved study protocols, human subjects’ requirements, internal SOPs, and external regulations including from the NIH.
$64,500 - $70,000 a yearFull-timeExpandApply NowActive JobUpdated Today
data quality jobs Title: manager Company: Ctg in San Francisco, CA
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