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If the candidate does not have a background in Actuarial science, the candidate should have 4+ years of industry experience building and analyzing machine learning models and should hold a graduate degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering.
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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Hands-on experience and specialization in various data and analytics disciplines including some of the following (data engineering, ETL/ELT, ML/AI, streaming, API integration and development, data/dev ops, data science, data virtualization.
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Behavioral Science/ Behavioral Analysis/Behavioral Threat Assessment experience or training. preferably a master’s degree related to Intelligence Studies, Forensic Science, Security Studies, Computer Science, Cybersecurity, Data Analysis, or a related field.
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A masters degree from an accredited college or university in one of the following areas of study: environmental or chemical engineering, limnology, environmental science, marine science, geology, biology, earth science, chemistry, physics, or health science; or 2.
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Strong science communication skills to support dissemination of scientific findings via data visualization, annual reports, and publications on a variety of scientific topics. Reporting to the Chairs of the Environmental Science Department, and working directly with faculty the Environmental Science Lab Instructor Support Specialist supports a range of lab- and field-based activities in the department including: analyzing corals and foraminifera, conducting social and ecological field surveys, and managing laboratories, maintaining analytical instruments, preparing for and participating in field trips and assisting with departmental outreach.
$70,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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New York City (Hybrid On-Site): $181,000 - $181,000 for Data Science PhD InternSan Francisco, California (Hybrid On-site): $191,000 - $191,000 for Data Science PhD Intern. Center 1 (19052), United States of America, McLean, VirginiaCurrent PhD - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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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, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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OR, (2) A bachelor's degree from an accredited college/university, including 16 semester hours of biological science (with one course in microbiology), 16 semester hours of chemistry (with one course in organic or biochemistry) and one course in mathematics, AND two years of post-certification clinical laboratory experience (, blood banking, chemistry, hematology, microbiology, immunology, clinical microscopy, etc.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Other duties, as assigned by supervisor Qualifications: Associate degree in medical technology, chemistry, biology, or related life science Formal training in Histology from an accredited program (720 hours)State Licensure, where applicable (CA, FL, NY require licensing) Meets CLIA personnel standard criteria.
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Patent Litigation : Mid-level associates with at least five years of patent litigation experience are required, especially those with backgrounds in electrical engineering, computer science, or mechanical engineering.
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About The Manager - Risk Finance Data Science Role. Present and defend statistical modeling techniques to various internal and external stakeholders, including Model Risk Management Group (MRMG), Internal Audit Group (IAG), AENB Board of Directors, Federal Reserve Board (FRB), and Office of the Comptroller of the Currency (OCC.
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science job Title: audit intern in Jersey City, NJ
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