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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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We have an opportunity for a remote HS Data Science Intern on our Health Solution team. As a HS Data Science Intern, you will support the expansion of the Health Solutions Data Science function through the analysis of existing AMA data assets as well as potential data acquisitions opportunities that would provide benefit to the AMA. You will conduct analyses to enhance the collection, enrichment, and management of AMA’s data, to optimize current usage and enable new business uses of these data assets.
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In this client-facing role, you will support business leaders in the successful development of data strategies, data governance programs, data modernization roadmaps, reporting and visualization tools, and craft business cases for funding of data initiatives at large corporations, in particular regard to EHS and ESG functions.
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Must be enrolled full time at a 4-year accredited university/college in a Computer Science, Computer Engineering, Data Science/Analytics, Data Visualization, Marketing Analytics, Math, Stats, Software Engineering, Information Systems, Systems Engineering or related degree.
$22.6 - $40.7 an hourFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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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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Substantively, the individual will develop and maintain programs that transform data into analyzable formats and/or that can be utilized for data analysis; perform analysis of DCFS administrative data using R, Python, VBA, SQL/PostgreSQL, STATA, SAS and/or other appropriate analytic software programs; and when appropriate, serve as data expert to provide consultation for and participate in discussions regarding study design and methodology for specific research projects.
$74,000 - $98,572 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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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.
$160,000 - $284,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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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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2+ years of machine learning, data science, and/or statistical modeling experience, with significant contributions that you can talk to. Data: PostgreSQL, Firestore, BigQuery, Elastic Search, Prefect, Kafka, Scala, Spark, dbt.
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Data Strategy: Oversee and direct the Data Science team on advanced audience query definition and development. Attribution Deployment: Lead team in coordination with Data Science on attribution deployment and data collection.
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Required Skills: SQL Databases & network configuration; ETL (PENTAHO); Linux/UNIX, PERL programming, crontab files, MicroStrategy admin skills; Java-based applications environment; AWS & related open source & cloud tech; Python for automation; Bash/Shell scripting, Chef, Kafka, Storm, Spark, Hadoop, HDFS, SQOOP, HIVE, PySpark, Spark SQL, PIG, Yarn, DynamoDB (NoSQL), PostgreSQL, Restful API's, XML, JSON, Airflow, Hortonworks Data Platform (HDP.
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SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, AI/Data Science Experience is a plus.
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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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Experience in data engineering or data science on Google Cloud Platform. Bachelor s or master s degree in computer science, Software Engineering, Data Science or related field, or equivalent practical experience.
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data science jobs Title: data Company: Gms Advisors in Chicago, Ada-county, Idaho
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