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Advanced knowledge of math, statistics, multivariate analysis, statistical tests Advanced Python coding skills Experience with one or more machine learning frameworks such as TensorFlow and/or PyTorch Understanding of numerical implementations Understanding of cloud computing Knowledge of data querying knowledge of EMG, EEG, ECG, IMU, CV algorithms Experience with C.
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The Core Data & Services for the Data organization within the DEET organization is in search of a Senior Data Engineer. Implement Ingestion of new batch and streaming data pipelines using Scala, Databricks, and Airflow.
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Experience with software used for trading and financial data management such as Eagle, State Street Alpha, CRD, Aladdin, Factset, Bloomberg is a strong plus. Provide thought leadership on designing data capabilities for investment and asset management business functions across front-office, middle-office and back-office workflows.
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We are seeking a rock star Senior Data Scientist to join our Risk Data team within the Ecosystem Fraud Team at Square. Create and maintain ETLs and data pipelines for continuous data integration and analysis.
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Bachelor’s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Information Management, or a closely related field and three (3) years of experience as a Senior IT Data Analyst (or full stack engineering or closely related occupation) performing data analysis and modeling using SQL, PL/SQL, and Python in a financial and brokerage services domain.
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The Senior Data Engineer is a key contributor in the EDA team, providing expertise in modeling data structures and designing, building, and optimizing data mappings. The Senior Data Engineer is a key contributor in the EDA team, providing expertise in modeling data structures and designing, building, and optimizing data mappings.
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At least 3 years of experience managing Cloud Data Warehouse database technologies, such as AWS Redshift, Snowflake, Databricks or similar. Design, configure, and manage Data Warehouse Database Systems on Cloud (AWS Redshift, EMR HBase and Snowflake.
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This includes data from genomics, proteomics, metabolomics, and other biological sources. + Hands-on experience in handling, processing, integrating, and analyzing large heterogenous biological data sets related to industrial drug discovery research (e.g., sc/snRNAseq, ATAC-seq, genomics, proteomics, etc.
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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. Experience working with financial data sets like Factset and Bloomberg a plus.
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Independently design and execute in vivo experiments, analyze data and interpret results and present data to relevant stakeholders: Knowledge of data analysis programs such as GraphPad PRISM, MicroSoft Excel Fit, FlowJo FACS analysis, Nanostring transcriptome analysis and Softmax Pro and/or other equivalent software.
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Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-timeThe Senior Software Engineer will play a pivotal role in advancing the technological landscape of GSK, specifically focusing on the design, delivery, and ongoing support of state-of-the-art data driven applications.
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Manage open enrollment and program renewals, including partnering with HRIS to ensure data accuracy of file feeds, and with internal communications for event planning and communication strategy (wellness/benefits fair, flu shot clinic, fitness classes.
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Strong collaboration skills to drive complex analyses integrating metabolomics data with bioassay results. Develop, improve, and deploy informatics pipelines to analyze and compare mass spectrometry-based metabolomics data.
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Cloud Security: Proficiency in cloud security and experience with cloud service providers (e.g., AWS, Azure, Google Cloud, O365) and SaaS Data Security, knowledge of secure cloud architecture design, cloud data protection mechanisms, and cloud identity and access management (IAM.
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This is a senior engineering position within the Data Linking team so you will contribute to and support the strategy for all the solutions managed by the Data Linking team. Experience working with data lakes, data warehousing, and/or database systems, including processing frameworks like Presto (Athena/Glue), Apache Iceberg, RDBMS, NoSQL, Spark/EMR etc.
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data job Title: senior in Woburn, MA
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