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The Lead QA Analyst is responsible for testing BI Data solutions and enterprise semantic model, while coordinating the development of these requirements with the Data engineering team.
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Degree: Bachelor’s or Master’s degree in a relevant discipline (e.g., Computer Science, Data Sciences, Decision Science, Engineering, Information Systems, Information Technology, Internet of Things, Applied Math, Machine Learning, Quantum, or other technology majors.
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Engage with other Global DD&T (GDD&T) platform leads to ensure infrastructure is built to support all internal & external digital experiences; collaborate with Chief Data Officer (CDO), Chief Technology Officer (CTO), and Chief Information Security Officer (CISO) to ensure strict compliance with data, technology, and information security standards.
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Master’s Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelor’s Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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Minimum of 10 years of relevant professional experience in financial engineering, technology or quantitative investment functions with practical experience querying on-chain data and/or deploying smart contracts.
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Why this role is important to usOur technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients.
$110,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Or, alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and one (1) year of experience as a Senior Data Engineer (or closely related occupation) designing, developing, testing, and implementing Snow Scripts and Snowflake Tasks to enterprise analytics data lake platform.
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Job Description We are looking for a Data Scientist to join our Risk Data Science and Analytics Team. You will improve our risk controls through advanced statistical and analytical techniques.
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As a Data Scientist I at Putnam, you will help lead and manage Data Analysts alongside case team leaders to solve interesting analytical problems for the clients. Experiences in healthcare datasets (e.g., Komodo, IQVIA, Symphony, Truven, Optum, Flatiron, Charge Master, Lab, Provider and Payer data.
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Maximize Technology Adoption: Lead the roadmap, user adoption, and optimization of the data governance platform. Minimum 12 years' experience in payer or provider or integrated delivery organization with track record of leading complex data and technology integration work including a minimum 3-5 years of experience in data governance or data quality management with experience in data management and data technology and implementation of complex data solutions, ideally within the healthcare industry, ideally with a focus on value-based care models.
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Knowledge of DBT, Airflow, Ansible, Terraform, Argo, Helm, or other data pipeline systems; ideally experience building and maintaining a data warehouse and understanding of simple data science workflows and terminology.
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The Presentation and Data Specialist is responsible for the coordination and production of product and fund materials; and,providing input and requirements on new systems or technology enhancements related to these materials.
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Work with program director, deputy director, and IT manager to collect and analyze data on the performance of the Ombudsman team, and help identify areas for internal improvements. Experience working with data analysis programs (e.g. R, Stata, SPSS) is preferred.
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The Bioinformatics Scientist is responsible for analyzing antibody selection data from yeast display, implementing machine learning algorithms to enhance data analysis and lead selection, and managing the data pipeline from raw file processing to database storage.
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Experiences in data visualization tools (e.g., Tableau, PowerBI, Qlik Sense) Proficiency in processing and manipulating large data in SQL and Python/R/SAS and Excel (Power Query, VBA) The ideal candidate for the Data Scientist Iposition is a highly intelligent and self-motivated individual with a strong work ethic and excellent team skills.
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data job Title: technology lead Company: Feed in Boston, MA
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