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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, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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We are seeking a dedicated Machine Learning Engineer with a passion for data science, to lead and manage our critical Machine Learning and Artificial Intelligence Platform. You will work closely with data scientists and software engineers to scale the Vertex Data Platform, which is Vertex’s cutting edge technology ecosystem for Data Engineering, Data Science, and Advanced Analytics.
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Help to design, develop, and implement scalable and efficient data science/data engineering solutions using Databricks and related technologies. Collaborate with data scientists, data engineers, and other stakeholders to ensure seamless integration of Databricks solutions into our data ecosystem.
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Must have good work experience knowledge in ADLS ADF Snowflake Databricks Azure AIML Purview APIs Collibra Data processing in Azure cloud. Minimum of 15 years IT experience in Data BIA solution architecting of which at least 3 years in Azure Snowflake Databricks.
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Working knowledge of dashboard data visualization including: AWS Quicksight, Google Looker, and/or Microsoft Power BI. We are specifically looking for someone who understands the role of the digital analytics director and the critical part that this team will play in scaling the digital transformation at SBNA. This person should be completely at home helping build and grow a team that can both lead in the data collection and syndication, as well as in the insights and analytics necessary to drive growth and improve customer experience.
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Experience with cloud-based data storage, analytics & data science platforms. Strong Programming skills with good understanding of concepts such as OOPS, design patterns, master data management & Ontology development.
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CDS Visual is looking for a Data Engineer with experience in data transformations. Working with Architect and BA, analyze Product Data specifications provided in Spreadsheets and transform those into DB tables for consumption in various CDS platforms.
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Contribute to product development from Research to Commercialization by collaborating with multiple functions within the Pharmaceutical Science organization to improve analytical, process and product knowledge.
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The Department includes undergraduate majors in Political Science, International Relations and Undergraduate Law, a Paralegal Studies Certificate and Associates Degree Program (for Non-Lawyer Legal Professionals) as well as Master of Arts degrees in Applied Public Policy and Global Public Policy.
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Python, Pandas, Data Science, Machine Learning, Statistical Learning, Applied Mathematics. You are a highly motivated and results-oriented individual with a passion for data science and machine learning.
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Experience with general programming and data analysis tools/languages such as Python, R, Spotfire would be particularly desirable. + Stay informed with emerging literature and science in the systems biology/pharmacology modeling and simulation sciences.
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Master's degree in a related field (e.g., Higher Education Administration, Educational Research, Data Science); The Assistant Vice President for Institutional Effectiveness will translate complex data into actionable insights, thereby empowering various departments, including academic affairs, student affairs, student services, finance, and facilities, to make data-driven decisions.
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BS/MS in environmental studies, natural resources-related science, planning, geography, civil or environmental engineering or related field; PWS, PE, CEP, AICP or similar registration desired. BS/MS in environmental studies, natural resources-related science, planning, geography, civil or environmental engineering or related field; PWS, PE, CEP, AICP or similar registration desired.
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PhD or equivalent in Statistics, Biostatistics, Bioinformatics, Data Science, Epidemiology, Health Informatics, Computer Science or similar field. Open Rank Research Professor - Health Data Science.
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A Bachelor’s, Master’s, or PhD in a relevant field such as chemistry, pharmacy, pharmaceutical science, biology, life science, or a related discipline. Establish robust processes for the review and release of products intended for GLP and GCP studies, ensuring data integrity and compliance.
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data science jobs Title: data analyst Company: Cambridge Sports Analytics in Boston, MA
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