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The Role: The UChicago Crime Lab and Education Lab are seeking a Data Science Manager with strong technical and project management skills to work on large-scale social policy experiments in the areas of crime and education.
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As a Data Science intern on our team, you'll be working on various algorithms and using Natural Language Processing (NLP) methods to work on some of our most interesting problems using expertly curated datasets.
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Must have some experience with: Data analytics with Python programming; Data science solutions using Snowflake; Database development using Hadoop, SPARK, or BigQuery; Big data development using Hive, Impala, Spark, and Kafka; Mining platform solutions using data analytics and forecast algorithms; AND Agile scrum methodology to develop and support solutions using Big Data platform.
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Data Science: Experience managing or applying more sophisticated advanced analytics/statistics using code. Data Visualization: Develop advanced Dashboards in visualization tools such as Tableau/QlikView/Looker.
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8) Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Bachelor’s degree (or foreign equivalent) in Computer Science, Information Technology Management, or Management Information Systems, and four (4) years of experience in a data science or data engineering role, or a closely related role.
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The areas of focus include Digital Measurement, Data Engineering, and Data Science involving 1st, 2nd, and 3rd party customer and sales data. In addition, you will lead data science initiatives to build and design models to support personalization, modeling, and activation.
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The Full Stack Engineer will work as a technical research staff member at the DSI with the primary responsibility focused on the DSI’s efforts at the intersection of public policy and data science.
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Understanding geospatial soil data and taking classes in GIS, remote sensing, and soil science are a plus. Have a robust statistics and data science background, in particular, deep understanding of the theory and principle of classic statistics, sampling surveys, experimental design, geostatistics, and other data modeling and analysis methods, including machine learning and artificial intelligence.
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Our team brings together experts in data science, electronics, and healthcare and has partnered with leading healthcare and academic institutions to introduce the next generation of patient waveform monitoring and analytics solutions.
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Provide methodological and programming supporttodata science tasksthat may include natural language processing, predictive analytics, machine learning, and datavisualization in collaboration with senior data science and research staff.
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Experience with value-based care analytics and data science. Deliver analytic and data science products – from business intelligence to analytics to predictive modeling – within the health care data domain (e.g., clinical outcomes, clinical quality, cost of care.
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Computer Science, Data Science, Data Analytics, Mathematics, Statistics degrees are preferable or related experience in these areas+5 years of experience in the Digital Media Publishing or Advertising industry (Web Analytics, Ad Network, Web Publisher, Ad Agency, Ad Operations)Experienced project manager with excellent written and verbal communication skillsExperienced in data visualization tools (Tableau, Microsoft Power BI, domo, etc.
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Undergraduate degree in Social Science, Data Analytics, Statistics, Information Systems/Technology, Business, Engineering, Finance, Mathematics, Computer Science or related subject area.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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data science jobs Title: senior data engineer in Chicago, IL
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