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Focused on software development life cycle, you will collaborate with the 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 technology.
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Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production. The Asset Management Quant Research Engineering team is looking for a Director of Data Engineering who wishes to take on the challenge of building a world-class data operation.
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Perform advanced analysis of high-dimensional proteomics data, including CyTOF, Flow Cytometry, and MS, to generate actionable insights into disease mechanisms. · Collaborate with multidisciplinary teams, including immunologists, data scientists, and biologists, to interpret proteomics data and translate findings into preclinical and clinical research applications.
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Knoledge in Databricks, PowerBI, programing languages including SQL, Python and PySpark, data principles including data pipeline, streaming data, data storage, ETL, data integration, database design Leadership (Vision, strategy and business alignment, people management, communication, influencing others, managing change.
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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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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) The Clinical Data Analyst partners cross functionally to identify risk to data integrity throughout the data flow to drive quality collection for non-EDC data sources (fluid & tissue labs, digital, imaging, wearables) in Dyne's clinical studies.
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Center 1 (19052), United States of America, McLean, VirginiaCurrent Master's - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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Reporting to our VP, Data Science and Analytics and partnering closely with our marketing, product, and business leaders, you will run analyses, build attribution models, and design and run experiments to identify efficient acquisition channels and translate insights and learnings to inform our growth marketing investment decisions.
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Minimum of 6 years of development experience using Snowflake, Databricks, Spark, Redshift, or equivalent data technologies. 3+ years leveraging Databricks, Snowflake, AWS, or equivalent cloud data platforms.
$210,120 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Data scientist will be embedded in the Wolfram Goessling laboratory at the New Research Building (77 Avenue Louis Pasteur) in Boston, Massachusetts, located in the Harvard Longwood Medical Area. The laboratory has 7-12 other scientists at varying stages (technician, graduate student, postdoc) of training.
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What you will be responsible forDevelop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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Architect and Implement Data Platforms: Lead the design, implementation, and management of a scalable enterprise data platform using Databricks on Microsoft Azure. Strong background in working with cloud-based data platforms, specifically Microsoft Azure and Databricks.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Core Responsibilities·Leads Mass General Brigham Digital efforts to leverage the enterprise electronic health record and Epic Platform to provide clinical and academic leadership for an enterprise information and digital strategy that meets Mass General Brigham goals in the areas of clinical care, revenue capture, patient experience, quality/safety, population health management, research, data/analytics, and teaching.
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Experience with DataBricks, Dataiku AWS SageMaker, Azure, and data pipeline management tools like Airflow. Acts as central steward of data quality, monitors risks through the holistic review of clinical and operational data, using detailed knowledge of the protocol, considering the specific therapeutic area aspects of the protocol related to the data collected and aligning with cross functional operational plans to drive comprehensive data science modeling tasks.
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data job in Brighton, MA
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