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The Data Science Specialist also works closely with the Data Lab Manager and the Senior Data Science Specialist to assist with the day-to-day operations of the Tufts Data Labs, which includes providing guidance and instruction to Data Lab student assistants and providing assistance with the development and maintenance of hardware, software, and systems infrastructure for data analysis and visualization.
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They are a key contributor to data quality and data governance efforts, and a trusted collaborator across departments with the aim of instilling a culture of effective use of Salesforce within the entire organization to advance NNAF’s mission.
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Focus on software development life cycle, you will collaborate with our Head of Technology Strategy, Head of Data, Solution Architects, Data Analysts, Data Team, and Portfolio Delivery function Leads to understand customer and technical needs to design and implement the Global Investment data platform, including Persistence, Integration and Services layers of the business solutions in compliance with architecture principles and standards followed by MMC technology.
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As a Principal Data Scientist II - AI Architect, you will play a crucial role in shaping the AI strategy and driving the development of innovative AI solutions across our platform. Seismic's annual base salary range for this position will vary based on applicant's location, experience, job level, skills, and abilities as well as internal equity and alignment with market data.
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Development, implementation, and maintenance of enterprise-wide data governance technologies, with a focus on improving data quality, data lineage and data discoverability.
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Strong knowledge of Redshift, Informatica, and/or Databricks highly preferred Seasoned developer or technical lead with strong curiousity for newest technologies and trends Experience with data formats including Parquet, Delta, and JSON. Preferred.
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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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Minimum 5 years of experience with ETL/ELT design and development using tools like IICS, AWS Glue, Talend, Databricks, Oracle Data Integrator (ODI) or equivalent. Minimum 2 years of experience with large-scale data processing platforms such as Spark, EMR, and/or HPC computing experience with e.g. Apache Aurora, Slurm.
$143,500 - $179,960 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Develop and execute strategies that maximize the value of data science applications (e.g. in AI/ML, Computational Chemistry, and Biology). Moreover, this embedding with DSI nurtures fertile Research and Development collaborations that leverage DSI’s excellence in quantitative pharmacology, biostatistics, and big data.
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Join Takeda as a Lead Data Engineer RDBU where you will help shape and implement the vision across US stakeholders leveraging innovative data, digital, and technology solutions to support the Rare Disease Business Unit. Guided by modern, cloud-based technologies and applying best practices, they will closely collaborate with the DD&T and the RDBU I&A teams to deliver and maintain effective solutions and help drive adoption.
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Demonstrated Expertise ("DE") analyzing, evaluating, and creating data objects for the data models in Oracle SQL, MySQL, PostgreSQL, and Snowflake by transforming the raw data into clean object; performing data wrangling and data visualization using BI tools.
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OVERVIEW OF ROLE:The Paralegal Specialist provides legal and administrative support to the Division of Hearings including the Deputy General Counsel/Hearings Manager, the hearings officers, and the Division’s adjudicatory process.
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DE identifying key trends and customer behaviors that influence business decisions by building hypothesis for mining digital or live channel data in AWS and Snowflake EDL, using SQL, Python, Elasticsearch and Amazon Web Services (AWS) technologies Athena, Glue, Sage maker, Kibana, S3, Quicksight, and API Gateway.
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Hands-on experience with Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure SQL Database, etc. Design, develop, and maintain data pipelines in Azure for ingesting, transforming, and loading data from various sources into centralized Azure data lakes and Databricks Delta Lake. Ensure data quality and integrity throughout the process.
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Prior experience building an investments data warehouse covering common data domains (clients, portfolios, funds, holdings, transactions, trades, securities/investments, ESG, analytics, performance, IBOR/ABOR/TBOR, benchmarks/indices) or with vended products that provide similar functions (e.g. Eagle, State Street Alpha platform.
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Title: data specialist Company: Accelify Solutions in Boston, MA
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