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You will utilize your knowledge of geospatial data and analytics while using tools such as Geographic Information Systems (GIS), Python, and visualization/analytical platforms (ex. Data science programming/coding in Python and/or R including use of spatial libraries/packages (eg GeoPandas, Rasterio, GDAL/OGR, Terra.
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Proficiency in survey methodology, statistical analysis, and data visualization techniques, with expertise in software tools such as SPSS, SAS, R, or STATA. Innovation: Focus on the development and application of new methodologies, technologies, and techniques to gather data and insights including machine learning AI, mobile optimization, gamification, behavioral economics, and virtual/augmented reality.
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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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This position will also contribute to the Open Spatial Lab, a program of the DSI and the Center for Spatial Data Science (CSDS), which builds tools and conducts analyses to make geospatial data science and communication more accessible.
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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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Statistical Analysis and Interpretation: Lead the analysis and interpretation of survey data using advanced statistical techniques and software tools. Innovation: Focus on the development and application of new methodologies, technologies, and techniques to gather data and insights including Machine learning AI, Mobile Optimized Surveys, Gamification, Behavioral economics, real-time feedback, Multimodal surveys, Blockchain technology, Virtual and Augmented reality.
$160,000 - $284,000 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Alteryx, Banking, Business, Critical Thinking, Data Acquisition, Data Analysis, Data Management, Data Operations, Data Quality, Decision Making, Financial Products, Leadership, Management Reporting, Microsoft Power BI, People Management.
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We help clients solve challenges in the aquatic environment requiring expertise in aquatic research, water resource management, data science, and regulatory compliance. Four Peaks Environmental Science & Data Solutions, LLC (Four Peaks) is a growing environmental science and engineering firm serving public and private entities nationwide.
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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.
$55,128 - $77,525 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The ideal candidate will be responsible for designing, developing, and enhancing the Python data science tools and frameworks. Machine Learning Engineer – Work From HomeWe are seeking a talented and self-motivated Machine Learning Engineer to join the growing data science efforts.
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To support this vision, Kimberly-Clark North America (KCNA) is investing in the growth of our high-performance Data Science and Advanced Analytics Strategy team and we are looking for entrepreneurial-minded innovators to join us in our journey.
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Experience working with Integration Technologies such as MuleSoft,Jitterbit,Boomi, Informatica, Talend,Snaplogic, Salesforce APIs, APEX,and other similar ETL tools. Ability to build mock Proof of Concepts for Data Integration with Salesforce, Anaplan, Workday, NetSuite, SQL/Oracle DB, Snowflakeand a variety of Cloud-basedBusiness Systems for potential clients.
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The lab, funded continuously and predominantly by NIH and other agencies of the U.S. Department of Health and Human Services for nearly 20 years, employs about 20 full and part-time researchers and staff across disciplines including epidemiology, gerontology, anthropology, biology, social work, public health, and data science.
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Inviting applications for the role of Senior Principal Consultant- Databricks Sr. Data Architect ! Experience with machine learning tools such as mlFlow, Databricks AI/ML, Azure ML, AWS sagemaker, etc.
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Experience building and managing production-grade data pipelines using tools such as Airflow, dbt, DataHub, MLFlowExperience building and managing production-grade data platforms using distributed systems such as Kafka, Spark, Flink and/or others.
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tools data science jobs Title: senior manager Company: American Express in Chicago, IL
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