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Demonstrated expertise through publications in top tier venues in fields such as machine learning, NLP, artificial intelligence, computer vision, optimization, computer science, statistics, applied mathematics, or data science.
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Program cognitive tasks, software pipelines, data visualization tools, and machine learning or data science utilities for a variety of scientific use cases. Serve as an internal resource to scientific and clinical teams with software and data science needs at the Child Mind Institute and collaborating centers.
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Sia Partners is looking for a talented Senior Data Scientist to support our activities within the Data Science Business Unit. You will be working alongside our Data Science consultants and our clients on Data Science topics, including data acquisition and exploration, creating relevant data models and presenting results to stakeholders.
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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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Committees may include topics such as AI/machine learning, ethics, natural language processing, data definitions, data governance, genomic/pathology/radiology and other specialized clinical data systems, Epic, internal and external data reuse, learning health systems and translational science.
$183,854 - $289,990 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Strong understanding of data engineering concepts and experience with tools such as SQL, NoSQL databases, and data processing frameworks (e.g., Apache Spark). Knowledge of IBM Master Data Management (MDM) implementationKnowledge of metadata-driven enterprise reporting platforms.
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VP, Portfolio Management Data Science. Will lead initiatives to enhance processes and infrastructure, leading the implementation of data science initiatives, applying expertise in develop monitoring reports, dashboards, and predictive models to enhance risk assessment capabilities.
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Quant UXRs vary in background using skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields.
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At J.Jill, our success is guided by a culture that values the intrinsic art of creativity and the data science required to drive our future growth. We are collaborative and data-centric, with every associate focused on creating our customers unique experience and delivering results through our omnichannel business model.
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Experience working with financial data sets like Factset and Bloomberg a plus. Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny.
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Integrating Databricks with other AWS products such as SNS, SQS, and MSK.What we are looking for: Bachelor's or master's degree in computer science, Information Technology, or a related field. Strong technical proficiency to contribute to data engineering task in an AWS and Databricks ecosystem.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Expertise in mouse genetics, microscopy, gold-stand techniques of cell and molecular biology, data science and computational biology and writing skills is required. Collecting, analyzing and reporting on experimental data to the Principal Investigator on a timely manner.
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We work closely with other Treasury-Finance teams (Liquidity Management and Capital Markets), Stripe’s Information team (Data Science and Data Engineering), Stripe’s Money Movement & Storage (MMS) product and engineering teams to build great capital and financial risk infrastructure.
$223,600 - $335,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ideal candidate has in-depth understanding of the measurement of ATL on key brand metrics (e.g. TOMA, consideration, purchase intent and selected image dimensions) and ROI/ROAS. They are experienced in working with Analytics and Data Science Teams to improve our ROI/ROAS measurement in the ATL space (MMM, set top box measurement, etc.
$143,500 - $205,000 a yearFull-timeExpandApply NowActive JobUpdated Today
data science plus jobs Title: science director Company: Humana in New York, NY
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