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Bachelor’s degree in Computer Science, Engineering, IT, MIS, or a related disciplineExpertise in Python, SQL, and RExpertise in ingesting data from a variety of structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON Expertise in ETL concerning metadata management and data validation Expertise in Unix and Git Expertise in Automation tools (Autosys, Cron, Airflow, etc.
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This role will be part of a dedicated hybrid actuarial/data science team designing and delivering powerful analytical tools utilizing statistical modeling, machine learning, cloud computing, and big data platforms to enhance or overhaul core actuarial processes.
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Exposure to Big Data environments such as AWS (Spark, RedShift, EC2, Tableau), Databricks, or Snowflake is a plus. This is a strategic role with an opportunity to learn and expand responsibilities as you partner with data science, engineering, and business development teams in the US and offshore.
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Must include one year of experience in each of the following: (1) working with complex data structures and large datasets in a real business setting; (2) utilizing SAS, SQL, Excel, VBA, PPT, Tableau, Visio, MARS and CART software; (3) delivering oral and written data analytics presentations to clients, senior managers and executives; (4) big data processing, data extraction, and variable reduction; and (5) managing analytics projects with global resources.
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Experience with Snowflake is a big plus. Ability to support and troubleshoot React applications is also a big plus. Preferred Qualifications: Master’s degree preferred Experience in the securities or financial services industry is a big plus.
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Requirements: Bachelor's degree in Engineering, Technology, Computer Science, or closely related field, plus one year of professional experience building, stabilizing, validating, and monitoring statistical models to ensure that they meet the retail sector client guidelines.
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Strong knowledge of Master Data Management is required, and domain knowledge in Life Sciences and Healthcare is a plus. We provide a range of services: from Data Management, Data Science & Analytics, to API Management/Integration and Artificial Intelligence.
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Who We Are Excellence Community Schools (ECS) is a Charter Management Organization (CMO) supporting schools in the Bronx, NY and Stamford, CT. Our programs are based on a proven, nationally recognized model, which originated in our flagship school, the Bronx Charter School for Excellence, a 2012 National Blue Ribbon School.
$51,000 - $124,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Enlighten, honored as a Top Workplace from the Baltimore Sun, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science.
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Define and influence direction of organization constructs and technology management methodology change with organizations (e.g., define data governance frameworks on a data governance strategy assessment project.
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Lead the monthly/quarterly close process, focusing on data and insights that will help advance our channel, global system integrator, cloud service provider, and managed service provider routes-to-markets and partnerships from a top-line bookings perspective, as well as the management of headcount and spend for the Partnerships org.
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Ph. D. Master’s degree preferred in engineering, economics, statistics, computer science, or related quantitative field 10+ years of backend software or data engineering experience with at least 4 years’ experience as lead data engineer of a development scrum team.
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Experience in machine learning, big data analytics, data science, and cloud computing is a plus. Knowledge of at least one target industry, (ideally high tech, energy, telecom, financial services, life science, or manufacturing) is a plus.
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The Center's professional training courses cover a variety of methods such as data management, data visualization, descriptive analytics, machine learning, artificial intelligence and more using tools such as SQL, PowerBI, R, Python, ChatGPT, and others.
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Experience with Big Data technologies is a huge plus (Hadoop, Kafka, Accumulo, Storm, Hortonworks, Cloudera). Configuration management tools experience a plus (Puppet, Ansible, Chef, etc.
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