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Qualifications: Bachelor's degree in Agronomy, Crop Science, Soil Science, or a related field (Master's degree preferred for more senior roles). Proficiency in data analysis, data management software, and precision agriculture tools.
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Our passionate, global workforce augments local expertise and diverse mix of skills with data, science, and technology to deliver bespoke engagement solutions that help clients reimagine how they engage with their patients, payers, people and providers to improve treatment outcomes.
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Expertise in data science tools and platforms (Databricks, TensorFlow, DataRobot, Palantir, Apache Spark, C3. Extensive experience in data analysis, statistical modelling, ML, and LLM, with a solid understanding of various data science methodologies, their best-practices, and their practical applications.
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In addition to being a hands-on developer with experience in business intelligence, analytics, data science, and data products, the ideal candidate will have strong command of the principles of large-scale database development, data modeling, data mapping, data testing, data quality, and documentation preparation.
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Demonstrated expertise in data engineering, data science, machine learning, and business intelligence principles, with a preference for hands-on experience in large-scale data engineering projects or data science/ML initiatives.
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The University of Washington is a science and engineering leader in computation, modeling, and data sciences, from atmospheric sciences and oceanography to quantum chemical systems and protein design.
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Collaborate across multidisciplinary teams—Compliance, Data Science, Model Risk Management, Data Governance, and Human Resources. This position reports to the Head of Fair Lending and works closely with the Head of Data Science, Fair Lending Compliance, and Model Risk Management to establish and lead a comprehensive and robust Fair Lending Analytics function.
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Diploma/Degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science or a related field. Drive innovation and continuous improvement in data science methodologies and practices within the organization.
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Provide military science instruction and training and field instruction and training in accordance with Cadet Command's program of Instruction (POI), syllabus, and other ROTC-directed or emerging training in various settings on and off campus, to include field environments.
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Responsibilities include teaching undergraduate and graduate computer science and data science courses; implementing inclusive and evidence-based teaching and learning approaches to ensure the academic success of a diverse population of students; advising senior capstone projects; collaborating with faculty to enhance curriculum; providing academic advising; participating in university service activities; and actively engaging in university diversity, equity and inclusion initiatives.
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Experience leveraging Esri's software capabilities including, mapping, field operations, spatial analysis and data science, 3D visualization and analytics, data management, and developer APIs.
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Additionally, the fellow will have significant opportunities to contribute to Sanofi's digital transformation by collaborating on projects with other CMC teams and global process modeling and data science teams.
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Master's in agriculture, agriculture science, education with a specialization in agriculture or other agricultural area (including: agricultural business, agricultural engineering, agricultural mechanics, Agriculture agronomy, animal science, enology, environmental (ornamental) horticulture, equine science, forestry, natural resources, plant science, pomology, soil science, viticulture or other agriculture science) from an accredited institution.
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FIELD(S) OF STUDY: Data Analytics/Business Intelligence, Computer Science, Business Administration, Industrial Engineering, Mathematics, or related field. A minimum of 2 years of work experience in reporting, analytics, business intelligence, data science or similar field is required.
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Technical Expertise : Extensive experience in the complete ML development lifecycle with machine learning frameworks (e.g., TensorFlow, PyTorch and Lightning), statistical modeling, data science, and computational biology tools.
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data science jobs Company: Cbre in RI, France
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