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Job Details Position SummaryThe Parent Coordinator is part of the administrative team working under the supervision of the principal.
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Quantitative Research E-Trading Data Engineer Team Description QR eTrading is a quantitative research group within JP Morgan which partners with the electronic trading desk and technology teams to develop cutting edge quantitative models and data products used by JP Morgan's algorithmic trading systems across multiple trading desks and external clients.
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Drive strategic product communications, owns customer engagement and identify customer requirements by considering data, customer feedback, and user research, and designs product value propositions for large tech and cross-functional audiences.
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Make this your next Radiology Technologist Assignment! Whether you are a first-time traveler or a seasoned nurse looking for your next adventure, White Glove Placement is the agency for YOU.
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Provide military science instruction and training and field instruction and training in accordance with Cadet Command’s program of Instruction (POI), syllabus, and other ROTC-directed or emerging training in various settings on and off campus, to include field environments.
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Ensure documented data requirements from client teams including the Marketing Intelligence & Science team to understand the measurement framework, the most critical metrics to implement for database build and business logic for data stitching.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Drive innovation in the Data Science and Technology practice, focusing on generative AI and machine learning. Cultivate a team environment rooted in collaboration and perpetual growth within the Data Science & Technology department.
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Technology polymath: Experience with a wide range of technology and can learn and develop any solutions across the full data science lifecycle and application stack. Proficient with Data Warehousing solutions (e.g., Redshift, Snowflake, BigQuery, Lakehouse, Data Mesh, Medallion Architecture.
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A proven track record with 1-3 years in business intelligence, data engineering, or a similar role where data visualization isn’t just a task—it’s an art. Partner with our innovative teams to weave complex data into compelling narratives for business optimization.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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This role will be focused on storytelling through the analysis and synthesis of data from various criminal justice agencies, including law enforcement, prosecution, defense attorneys, court systems, jails, prisons, probation, and parole agencies.
$107,500 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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At the Hasso Plattner Institute for Digital Health at Mount Sinai, we use the tools of data science, biomedical and data engineering, and medical expertise to improve and extend lives.
$80,000.09 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience implementing scalable systems (Google Cloud preferred) Experience with Airflow or similar workflow management tools Experience using data visualization tools and techniques to deliver and present business insights and value Proficient in Python and SQL Desired Characteristics: Experience implementing and owning end-to-end data projects with a diverse group of stakeholders Knowledge of enterprise-level digital analytics platforms (e.g. Tableau, Looker, etc.
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Act as a subject matter expert in marketing measurement science, specifically MMM + MTA unified-model measurement and media KPIs. Proficiency in data visualization tools: R, Python, Tableau, or similar.
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Knowledge of structured products and/or risk management in a fixed-income environmentExperience with integrating data/memory-intensive processes into a cloud-based environmentis Why is This a Great Opportunity: Working for a profitable Asset Manager in Midtown, Manhattan with a flat structure that's expanding.
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data science next generation jobs Title: data science in New York, Bentonville, Kansas
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