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The SAP Architect-Data will be responsible for leading data migration projects to success during SAP implementations. Partner with the SAP Architect-Business Process to ensure the proposed design aligns with available data, and, if required, offer suggestions to enrich or transform data to meet the design.
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In this role, you'll be diving into the innovative intersection of LLM, data and gaming. Currently enrolled in or a recent graduate of a PhD or Master degree program in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
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Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad.
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Stay Updated on Industry Trends: Keep abreast of the latest developments in data science, machine learning, and marketing analytics. Bachelor's or Master's Degree: Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related field.
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BS in a quantitative or scientific discipline (e.g. engineering, mathematics, statistics, computer science) with 2-4+ years of relevant data science/analytics experience in the pharmaceutical industry or MS with 0-2+ years relevant experience.
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Experience in writing queries (SQL, Python, R, Scala) as needed and experience with various data technologies such as Azure Synapse or SQL Server, Snowflake, Databricks. Enterprise data modeler provides expert support across the enterprise information framework, analyze and translate business needs into long-term solution data models by evaluating existing systems and working with a business and data architect to create conceptual data models , data flows.
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Joining as Senior Business/Data Analyst, you will be responsible for building and maintaining the sustainable, scalable products and capabilities that support our advisors to deliver world-class services for their investors.
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No degree required, but proficiency usually demonstrated by getting a Bachelor/Master's in computer science or computer engineering, or PhD in bioinformatics, computational biology, immunology, or related discipline.
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Preferred QualificationsUnderstanding of advanced statistical analytics, machine learning, and data science principles. A data engineer is responsible for designing, developing, testing, documenting, and maintaining data warehouse and analytics architecture to meet UCSF's data and analytics needs.
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Bachelor’s degree in Computer Science or a related field of biological science, and two (2) years related research experience in bioinformatics and computational biology. M.S. or Ph. D. degree in Bioinformatics, Computer Science, Biotechnology, or similar.
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He/she will play a pivotal role in supporting different functional areas of clinical operation, clinical science, biometrics and external CROs to monitoring the on-going studies and generating new hypotheses and insights from the completed studies using exploratory data analysis techniques and visualizations.
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The Senior AI Engineer will have a strong technical background and demonstrated experiences in Gen AI, Data Science and AI/ML. The ideal candidate will be responsible for delivery of analytical models and AI solutions.
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This entails designing and implementing a sophisticated data governance framework spanning across capabilities and tools such as data quality checks, defining/tracking KPI’s, data lineage and data structure and organization (e.g. organized data hierarchies, well-maintained data dictionary and report catalogue, as well as data and report certification.
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MS, or PhD in Computer Science, Computational Mathematics, Applied Mathematics, Engineering, Data Science, Statistics or equivalent. Data warehouses and file stores such as Snowflake, RedShift, Teradata, BigQuery, Amazon S3, Amazon RDS, Azure Synapse, Databricks Lakehouse, etc.
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Bachelor of Science in wildlife biology, ecology, or a closely related field with two years of experience in field work that includes: 1) capture and handling of turtles, 2) project and/or field team coordination, and 3) data management.
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data science jobs Title: data engineer Company: Datarobot
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