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Strong analytical skills with the ability to interpret and present data using industry-relevant software (e.g., Snowflake, Alteryx, Tableau, ArcGIS). Collaborate with business leaders to understand their goals and provide new data analytics solutions to expand markets and grow membership, sales, investments, and charitable giving.
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Build robust data integration services using Java Spring Boot API and Azure cloud services and manage Collibra platform deployments and upgrades on cloud VMs. Experience in developing data integration services using Java Spring Boot API and deploying solutions on Azure cloud services.
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Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB. Bachelors or Master's degree in Data Analytics, machine learning, Computer science, artificial intelligence, statistics, data science or related discipline.
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Delta, founded in 1971, is a global leader in switching power supplies and thermal management products with a thriving portfolio of smart energy-saving systems and solutions in the fields of industrial automation, building automation, telecom power, data center infrastructure, EV charging, renewable energy, energy storage and display, to nurture the development of smart manufacturing and sustainable cities.
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Experience in developing Data Warehouse/Data Marts using, as examples, OBIEE, OBI APPS, Cognos, Business Objects, SPSS, SSIS, SSRS, Informatica Power Center, OWB and ODI. · Experience on design and development of Data Warehouse Architecture for Enterprise Data Warehouse (EDW), Operational data Store (ODS), Operational Data Marts and Data Marts.
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Expertise in designing and implementing scalable data pipelines using tools such as Apache Spark, Databricks, Kafka, and others. This role requires a highly skilled and hands-on data professional with expertise in Databricks, Azure, AWS, Kafka, and both SQL and noSQL databases.
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Working closely with other technology eaders to design and develop enterprise-wide data strategy for data modeling, data pipelines, and data integrations across various environments and technology stacks Developing performant data movement pipelines using real-time event data streams (Apache Kafka, Azure Event Hub, AWS Kinesis, Azure Databricks etc.
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Reporting to MassHealth’s Director of Enterprise Data Management and Engineering (EDME), the Senior Program Manager will lead SENDPRO, overseeing internal development, testing, vendor management, and MCE communications.
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Knowledge of social science research methodologies, data applications and repositories, and legal and government information sources. Ability to assess curricular and research needs in social science disciplines, select materials, and build library and data services to meet those needs.
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BS/MS or above in Computer Science or relevant experience Experience with data warehouse technologies: MapReduce, HDFS, Hive, Tez, Spark, Sqoop. How you’ll make an impact: In this role you will be a member of a team responsible for designing and developing a data ecosystem to promote an environment of data democratization and utilization across SiriusXM and Pandora.
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O Database Management System: Storing, organizing, managing, and delivering data using relational DBs, NoSQL DBs, Graph DBs, and data warehouse technologies including AWS Redshift and Snowflake.
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Position SummaryThe Clinical Data Science team is tasked with activating CVS Health’s clinical data repository to improve outcomes across multiple lines of business and use cases.
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Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
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2+ years of relevant R&D experience, including but not limited to polymer chemistry, protein formulations, foaming systems, chemical formulation, surfactant chemistry, material science and/or green chemistry.
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Graduate-level degree in computer science, engineering, or relevant work experience Preferred: Understanding of ML frameworks (sklearn, TensorFlow, PyTorch, etc) Experience working with big data platforms (Hadoop, Redshift, Snowflake, etc) Architecture, design patterns, production scaling/optimization Insurance industry experience Salary range: $132,500-$197,500 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No.
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data science jobs Title: school science teacher in Kearny, NJ
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