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Implementation and tuning experience in the Big Data Ecosystem, (such as EMR, Hadoop, Spark, R, Presto, Hive), AWS Solutions Architect, AWS Developer, or AWS Certified Big Data – Specialty (Data Analytics Specialty.
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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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The Role : The University of Chicago Crime Lab and Education Lab are seeking a Data Project Associate with strong technical skills to work on large-scale social policy research projects designed to reduce crime and improve educational outcomes.
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SUPERVISION & BUDGET AUTHORITY Supervises the Advancement Data Management Team consisting of 3-5 data professionals including but not limited to: Database Administrator, Data Auditor, Database Coordinator, Integration Specialist, and student workers or graduate assistants as needed.
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Agile Scrum master (Program Management) role supporting NextGen Platforms built around Big Data Technologies (Hadoop, Spark, Kafka, Impala, HBase, Docker-Container, Pod man, OpenShift / Kubernetes, Ansible and many more.
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Be proficient in handling large volumes of data using a programming language such as SQL, SAS, R, and Python and using critical thinking and problem-solving skills to develop an in-depth understanding of BMO’s products and customers to inform liquidity risk management.
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Identifying and incorporating tools and techniques using technology applications (e.g. Microsoft SQL Server, ACL, Access/Excel, Visual Basic, R, Python, SAS, Stata, Alteryx) and build reporting capabilities through data visualization (e.g. Tableau, Spotfire, Qlikview, Einstein Analytics.
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Experience with Data Ops (VPCs, cluster management, permissions, Databricks configurations, Terraform) in Cloud Computing environments (e.g., AWS, Azure, GCP) and associated cloud data platforms, cloud data warehouse technologies (Snowflake/Redshift), and Advanced Analytical platforms (e.g., Dataiku and Databricks.
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Proficiency in SQL and at least one programming language, such as R or Python, for data manipulation and analysis. 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Latitude specializes in providing highly skilled former in-house counsel and Big Law attorneys for flexible contract engagements and permanent positions in dozens of practice areas, including commercial contracting, data privacy, M&A, employment, litigation, and more.
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Develop code using Big Data Technologies such as Spark to write MapReduce and in-memory applications using Java, Scala, SQL, Python, R languages, Hive, etc. Previous experience with emerging big data processing technologies (Spark, Kafka, Hive, Hadoop/MapReduce, etc.
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About Supermicro: Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Experience with a widely-used investment portfolio management and data reporting tool such as Dynamo, Blackrock Aladdin/eFront, Bloomberg, Solovis, Caissa/Burgiss, and/or FactSet to measure the performance and risk of portfolios and to assist with the monitoring of current and prospective investments is required, although Dynamo-specific experience is not.
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Ability to utilize data analysis and visualization software such as SAS, SPSS, Python, R, Excel, Tableau or Power BI. The Director will work with the CDO, Chief Information Officer (CIO), Chief Performance Officer (CPO), county-wide IT leaders, and business unit leaders to optimize the use of data in setting and driving the President's agenda along the key policy areas.
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Experience with data visualization tools - Tableau, PowerBI, Business Objects - 2 years. Support the delivery of AML reporting and visualization, and supporting data governance artifacts.
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big data r jobs Title: data scientist in Chicago, IL
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