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We are seeking a Vice President, Data Science to join the Fidelity Digital Asset Management business and report directly to the Head of Digital Asset Operational Capabilities. 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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Perform exploratory analysis using data science techniques on structured and unstructured datasets and develop algorithms for early drug discovery efforts. Lead building state-of-the-art technology in target prioritization using internal and public multimodal and multi-omics data.
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We are looking for self-motivated hands-on Big Data Engineer- Spark/Scala Developer for state street’s AML program. 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.
$75,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor's or Master's degree in Computer Science, Information Technology, or related fields; or comparable work experience. Hands-on development experience with Design and Architecture of big data frameworks/tools: Azure Data Lake, Snowflake, Azure Data Bricks.
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Qualifications:Bachelor’s or master's degree in computer science, Information Technology, Life Sciences or related field. Job Schedulers – Airflow, Oozie or other ETL Scheduler Data Analytics – AWS Cloud Native Services Big data architecture – Python, Scala, Hadoop Bigdata, Hive, Pyspark etc.
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Circle is a financial technology company at the epicenter of the emerging internet of money, where value can finally travel like other digital data — globally, nearly instantly and less expensively than legacy settlement systems.
$145,000 - $192,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) Bachelor's degree in Computer Science, Applied Mathematics/ Data Sciences/ Data Analytics or related discipline required, advanced degree preferred.
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Collaborate with scientific and business and information technology leadership to influence the Data strategy and direction. Expertise with core data science languages (such as Python, R, Scala), and proficiency with key database systems (e.g. SQL, NoSQL.
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GSK is a global biopharma leader with new ambitions and new purpose: to unite science, technology and talent to get ahead of disease together. Proficiency in statistical software packages (e.g., SPSS, SAS, R) and data management tools.
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Strong knowledge of data management and modern data warehouse (Snowflake, Big Query) and ELT data acquisition/model building tools (Rivery, Fivetran), as well as dbt. Contribute towards a robust best practices and governance program with respect to data discoverability, observability, lineage, stewardship and security strategies for protecting sensitive information and content.
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A strong background in statistics, biostatistics, computer science and/or computational biology is required; and specifically, experience with analyzing high-dimensional datasets, such as whole-genome sequencing, multi-omics data, and electronic health records, is preferred.
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Boston Energy Trading & Marketing (BETM) is looking for a experienced Front to lead the Front Office Information Technology team. Hands-on professional programming experience across power industry and power trading is a big plus.
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The HDMI work is supported by a grant through the Bill and Melinda Gates Foundation, a champion of scaling up dietary data for better policy-making. The Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy is dedicated to advancing nutritional well-being for people worldwide through excellence in research, teaching and the shaping of public policy.
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Bachelor's degree from an accredited college or university in Computer and Information Science, Computer Engineering, Computer Systems Analysis, Information Cybersecurity and five (5) years of progressive information security experience across various information security/information technology risk management domains such as but not limited to application security, infrastructure security, identity, and access management, vulnerability and cyber threat management, security architecture, etc.
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A minimum of 7 years of experience in data science, engineering and bioinformatics in the life sciences. Collaborate effectively within a matrix environment, with scientists across various scientific disciplines, therapeutic areas, and departments to develop a strategy and appropriate goals for data science work.
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big data information technology science jobs Company: Capital One in Boston, MA
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