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Hands-on experience with big data technologies, including Apache Spark and Databricks Delta Lake. Proven experience as a Data Engineer with a focus on Databricks.
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Hands-on experience in setting up and implementing analysis pipelines for NGS or/and flow cytometry data. Hands-on experience in molecular cloning, flow cytometry/FACS, and/or next-generation sequencing.
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Lead hands-on technical data science work, including designing and developing data models, algorithms, machine learning systems, and comprehensive data analysis and visualization.
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Strong experience with data visualization tools (DOMO, Tableau, PowerBI, etc. Led by the Senior Director, Analytics & Business Intelligence, this role is part of the Data Science function, which sits alongside our Data Engineering and Business Intelligence functions.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc) As a Marketing Data Scientist, you will play a critical role in accelerating Cash App’s growth by creating and improving how we measure the impact of all our marketing efforts.
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Our data visualization tool is Looker. Our product backend is Java and Python microservices coupled with Spark, Kinesis, Airflow, Snowflake, and Postgres, all hosted on AWS. We’re looking for a self-motivated, highly driven Senior Software Engineer to join our Machine Learning Operations (MLOps) team.
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Strong knowledge of machine learning algorithms, statistical techniques, and data visualization tools. Derive marketing automation activities based on data insights, optimizing customer engagement and conversion throughout the marketing funnel.
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Tackle interesting challenges in data visualization/interpretation and editing raw data directly using a modern tech stack. Pioneer novel software systems for the rapidly growing field of data-centric AI. The platform has several tools that automatically find & fix issues in datasets.
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As a Data Engineer on the team, you will contribute to the scalable Batch and Streaming ETL pipelines , DWH design and Data modeling, Data Governance initiatives tools and applications that make that data available to other teams and systems.
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The ideal candidate will lead the development and implementation of advanced data science projects, focusing on building LLM (Large Language Model) applications for internal customers using LangChain.
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We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform.
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Working within ALS Photon Science Development (PSD) and ALS Photon Science Operations (PSO) groups, the Research Software Engineer will be a part of a team developing scientific computational workflows that interface with high-speed detectors, infrastructure for near real-time analysis, visualization and data management following FAIR (Findable, Accessible, Interoperable, and Reusable) principles.
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Hands-on experience analyzing single-cell datasets using Seurat or scanpy. The LGR is in search of a motivated computational biologist/bioinformatician, who will use their skills as a seasoned, experienced bioinformatics programming professional with a broad understanding of computational algorithms and systems to apply computational and statistical methods to analyze and interpret data obtained from the next generation of functional genomics screens.
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Identifying on-road driverless risk (collisions, near misses, exposure trends), including apply statistical rigor to make sure trends are statistically significant, helping assess whether a certain software release should be promoted to production using on-road + simulation results, and using sequential testing to monitor launches in new cities and advise for fleet reduction based on real-time data pipelines.
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hands on data visualization jobs Title: senior data engineer in San Francisco, CA
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