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The University of California manages Berkeley Lab for the U.S. Department of Energy's Office of Science. In this exciting role, you will be a part of the Machine Learning/ Artificial Intelligence (ML/AI) project focused on the optimal operation of the Versatile ECR ion source for Nuclear Science (VENUS) ion source.
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Perform data exploration using a combination of statistical programming languages (including, but not limited R, Python, SQL, SAS) and deploy predictive analytics and machine learning techniques to improve risk prediction, improve reserve, trend and financial forecasting in a manner that is actuarially sound, and enable real-time results and operational efficiencies.
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Stay current with industry trends, regulatory requirements, and best practices in RWE and data science. Bachelor's Degree in Life or Physical Science, Bioengineering, Biomedical Engineering.
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At least 1 year of full-time experience working on a social science or public health research project with primary data collection activities. Broad academic knowledge of or applied background in social science or health research with human subjects proven by 3-5 years of successful planning, initiation, execution, and reporting of previous investigations.
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Saildrone works with governments, civil agencies, foundations, universities, and private companies around the globe to drive better information about our oceans and seas—from sailing into the eye of a category 4 hurricane to obtain new data about how storms intensify, collecting new CO2 data in hard-to-reach areas, and counting fish biomass to inform sustainable fishery management, to mapping the ocean floor and reducing illegal fishing and drug trafficking.
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Must have a Bachelor’s degree in Business, Finance, Accounting, Economics, Mathematics, Statistics, Engineering, Computer Science, Education, Public Policy, a Life Science field, a Health Care field, or a related field plus 5 years of progressive, post-baccalaureate work experience performing quantitative or qualitative analysis.
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You will learn how ML is applied across use cases as varied as recommendation systems, search ranking, fraud detection, anti money laundering, price predictions, safety predictions, personalization, credit underwriting and much much more.
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Bachelor's or Master's degree in Civil Engineering, Environmental Science or a related field. Serve as Project Manager and/or technical leader on Surface Water projects (including drainage design, floodplain management, water quality, modeling, regulatory/permitting, and program management.
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Exposure to architectural patterns of large scale software applicationsExperience in shipping products to millions of customers or have started a new line of productExperience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/SparkDemonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science.
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Minimum of Bachelor of Science in Geology with specific coursework in geotechnical engineering or engineering geology; Master's degree in Engineering Geology desired. Have advanced knowledge of the California seismic landscape and proven skills of developing hazard mitigation measures required.
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3+ years of applied experience working within an HR or People team (e.g. people analytics, I/O Psychology, Organizational Development role) at an organization and/or strategic consulting to organizations.
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Experience with data engineering tools (e.g. dbt, Airflow, Airbyte) or data lake platforms (e.g. Snowflake, Databricks) Experience using data visualization tools and SQL to build and operationalize security metrics (e.g. Apache Superset, Tableau, Domo, Amazon QuickSight.
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Bachelor's degree in Computer Science, Mathematics, Machine Learning, Data Science, or equivalent experience. Master's degree in Computer Science, Machine Learning, Data Science, or other technically related fields.
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Leads enrollment of verified students into PowerSchool, KIPP Bay Area's student information system, and California Longitudinal Pupil Achievement Data System (CALPADS) The DSIM reports to the Director of School Operations (DSO) and works closely with the Regional Data and Operations team, the School Operations team, and School Leadership.
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Graduate degree in a relevant field, such as atmospheric and oceanic sciences, applied mathematics, computer/computational science, engineering. Expert background in AI and ML and general data science, including experience with time series forecasting, deep-learning, data analysis, system design, and prevalent AI/ML frameworks (Tensorflow, Pytorch etc.
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data science applied mathematics jobs Title: postdoctoral Company: Berkeley Lab in Alameda, CA
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