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The Search Engine Marketing (SEM) Specialist is responsible for planning, execution, and managing overall strategy that delivers qualified traffic through paid search channels. The SEM Specialist will work closely with content managers, other channel owners, product managers, and partners to ensure digital presence is fully optimized for paid search.
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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.
$62.14 an hourExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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.
$218,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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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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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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No Search Firms:ALSAC does not accept unsolicited assistance from search firms for employment opportunities. All resumes submitted by search firms to any ALSAC employee or ALSAC representative via email, the internet or in any form and/or method without being contacted and approved by our Employee Experience team and without a valid written search agreement in place will result in no fee being paid if a referred candidate is hired by ALSAC.
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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.
$202,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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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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Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
$192,500 a yearFull-timeExpandApply NowActive JobUpdated Today
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