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The Director of Personalization and Digital Analytics will direct the work of the Senior Manager of Campaigns, the Analysts responsible for Data Engineering, Data Science, and Digital Analytics, as well as external technology and analytical support agencies.
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8-10 years’ experience in Analytics, IT, Data science, Reporting, Statistical Analysis, or a related field required. The Director of Personalization and Data Science is responsible for defining and delivering our customer personalization strategy leveraging our robust customer data.
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Bachelor's Degree in relevant field (Preferably: Data Science, Healthcare Informatics, Statistics, Economics, Mathematics, Computer Science, etc.) Develop analytics data sets and enriched data models leveraging cloud computing technologies (DBT and Databricks.
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Our areas of expertise include remote sensing, geospatial analysis, GIS, soil science, water quality and demand evaluation, agricultural systems, salinity and nutrient management, ecosystem restoration, statistics, and regulatory policy.
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We are proud of our talented team of over 700 employees, spanning the fields of Engineering, Geoscience, Software, Geomatics, Data Science, Accounting, Administration, Health & Safety and Human Resources.
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Educational Background: A bachelor's or master's degree in Computer Science, Software Engineering, Data Science, or a related field is often required. Data Warehousing: Familiarity with data warehousing concepts and technologies, like Azure Synapse, Amazon Redshift, Google BigQuery, or Snowflake.
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Familiarity with cloud-based data platforms (e.g., AWS Redshift, Google BigQuery, Azure SQL Data Warehouse) and related services. Big Data Technologies: Strong knowledge of big data technologies and frameworks, such as Apache Hadoop, Apache Spark, Apache Kafka, Apache Hive, or Apache Flink.
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VP Data Science. Associate VP, Digital Health Services. Ramsey Solutions is seeking a Vice President of Consumer Products who has an entrepreneurial spirit, is results-driven, and has a background in creating, vetting, and driving new products.
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Maintains ownership of technology and analytics pipeline intake with HIM, Coding& Abstraction team members, ITG BI, ITG Data Science, ITG Product Development, and other stakeholders. Supervises technology and/or data projects in collaboration with HIM, Coding & Abstraction department team members, IT BI, IT Data Science and other various roles to evaluate outcomes across enterprise.
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Keeping abreast of developments in data science, machine learning, and artificial intelligence to identify opportunities for applying these technologies in the organization. Bachelor’s or Master’s degree in data science and relevant certifications.
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Technical requirements for this position include first-hand experience in the analysis of large-scale biological data, proficiency in cell and tissue culture, molecular biology skills, and an interest in working with transgenic animals and disease models.
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The University of Tennessee Health Science Center is the flagship statewide, public, academic health institution in Tennessee. Founded in 1911, the mission of the University of Tennessee Health Science Center is to improve the health and well-being of Tennesseans and the global community by fostering integrated, collaborative, and inclusive education, research, scientific discovery, clinical care, and public service.
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The primary role of the Medical Science Liaison (MSL) is to engage in meaningful peer-to-peer scientific dialogue with healthcare system leaders such as Regional Thought Leaders (RTLs), National Thought Leaders, and Healthcare Professional (HCPs) within a defined geography to translate science into patient care.
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Bachelor's degree in computer science, data science, information systems, or a related technical field necessary. Firm understanding of data modeling, master data management, data quality, enterprise data warehousing, ETL, reporting, querying, requirements analysis, and data integration techniques and associated tools.
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A Data Engineer within our Enterprise Systems will work with Lead Data Engineer. Knowledge of big data technologies like AWS Redshift, Hive and Spark. Knowledge in modern data engineering languages: Python, Event Bridge, Step Functions, Lambda, CloudWatch, CloudFront, Pyspark, R and Glue.
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data science jobs Title: data engineer in Nashville, TN
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