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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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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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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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Innovation and Future Planning: Keeping abreast of developments in data science, machine learning, and artificial intelligence to identify opportunities for applying these technologies in the organization.
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Design and implement distributed data processing pipelines using Spark, Hive, Python, Airflow, and other tools and languages prevalent in the Hadoop ecosystem. As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client.
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The Medical Science Liaison (MSL) role is a field based, customer-facing, non-promotional medical and scientific position. Education: Graduate degree in science or healthcare required; doctoral degree preferred (MD, PhD, DNP, PharmD, etc.
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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 computer science, data science, information systems, or a related technical field necessary. Under the direction of the Lead Data Architect, this role will assist in the definition of data architecture and data modeling standards, guidelines, and techniques.
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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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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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Daiichi Sankyo, Inc. (DSI) is currently seeking a Medical Science Liaison (MSL) to join the Field Medical Affairs Team. The MSL develops on-going professional relationships with national and regional healthcare opinion leaders and other healthcare professionals to provide medical and scientific support for Daiichi Sankyo, Inc. (DSI) initiatives in selected therapeutic areas.
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Ascension Saint Thomas and the University of Tennessee Health Science Center (UTHSC) have an established partnership in Middle Tennessee for training medical residents and fellows in a variety of specialties including cardiology, emergency medicine, family medicine, internal medicine, family medicine, obstetrics and gynecology, and general surgery.
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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. Team Leadership: Leadership and mentoring skills, as senior data engineers often lead and guide other members of the data engineering team.
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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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data science jobs Title: data science lead in Nashville, TN
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