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Master’s degree in Statistics, Econometrics, Data Science, or equivalent combination of education and related work experience. 10+ years of experience performing advanced customer data analytics, customer segmentation, data mining and data science.
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The PositionThe Science Engagement Division at the Adler Planetarium (Adler) is seeking candidates for a Postdoctoral Fellowship position in the field of Data Science, with an emphasis on Remote Sensing and Geospatial Analysis.
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Our passionate, global workforce augments local expertise and diverse mix of skills with data, science, and technology to deliver bespoke engagement solutions that help clients reimagine how they engage with their patients, payers, people and providers to improve treatment outcomes.
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Have six to eight years of experience in Data Science, Artificial Intelligence, and other related advanced analytics implementations for financial systems. Participate in cross-functional initiatives to integrate AI and data science into broader business transformation efforts.
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Education and/or Experience QualificationsRequired is a Bachelors degree in urban planning or related field such as geography, architecture, sociology, public administration, public policy, or environmental science, and the following.
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3+ years orchestrating and implementing pipelines with workflow tools like Databricks Workflows, Apache Airflow, or Luigi 3+ years of experience prepping structured and unstructured data for data science models.
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Proficiency with data platform architecture, design, data dictionaries, multi-dimensional models, objects, star and snowflake schemas as well as structures for data lakes, data science, and data warehouses.
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Work closely with various Business, IT, Analyst and Data Science groups to collect business requirements. Keywords: GCP, Google Cloud Platform, BigQuery, Composer, SQL, Python, Data Engineering, Data Pipelines.
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Position OverviewThe Regional Medical Science Liaison (MSL) functions as a highly trained, field-based, scientific expert who engages health care professionals and external experts in a defined region in the exchange of clinical, scientific, and research information on one or more of Medexus products.
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5+ years orchestrating and implementing pipelines with workflow tools like Databricks Workflows, Apache Airflow, etc 3+ years of experience prepping structured and unstructured data for data science models.
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Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
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This role supports biomedical research projects through the use of state-of-the-art genomic, computational, data science, and machine learning tools to understand immune mechanisms governing lung injury and repair.
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Dashboard development and data load transformations in Qlik Sense, Microsoft Power BI, or similar platform. As a Data Analyst in the Mid/Back Office Tech Team at Geneva Trading you will be responsible for the creation and optimization of data processes, development within our Qlik Sense dashboard, and ownership of our post-trade regulatory reporting and audit trail functions.
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The Data & Analytics team on the PlayStation account brings together paid media activity with point of sale and Console data to measure the effectiveness of media and provide guidance to optimise campaign performance.
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Ph. D. in Geography, Urban Planning, Remote Sensing, Information Sciences, Engineering, Computer Science, or a related field. Keep abreast of new developments in GIS, particularly in remote sensing, aerial, and mapping data, and be pro-active in introducing them to the faculty.
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data science jobs Title: data science Company: Arthur J Gallagher Co in Chicago, East-hartford, Connecticut
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