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Land IQ, LLC is seeking a Remote Sensing Scientist in its Sacramento, California office with a specialization in data driven analytics and algorithm development with digital images for agricultural and other land use applications (crop classification, yield modeling, land use impacts, land use change, etc.
RemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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The Strategic Workforce Planning Data Scientist will be a part of the HR Transformation, Optimization & Performance Improvement Center of Excellence (COE) and will focus primarily on the development and maintenance of the planning calculations and any expansion to optimization models.
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Leading bank is seeking a Data Scientist - Digital Marketing & Risk Management. Minimum bachelor’s degree in quantitative field (Mathematics, Statistics, Data Science or Economics), preferred Master's degree.
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Data Scientist Engineer (US/Canada, 1 Year Experience, Remote) Basic experience in computational finance, econometrics, statistics, and math. By providing intelligent and data-driven solutions, they strive to enhance the efficiency and effectiveness of the hiring process, ultimately helping companies find the best talent and individuals find their dream jobs.
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Responsible for the growth of data in the statistics and reporting environment by leading the certification of data sets that are available for reporting, collaborating with IRS information technology leaders on desired new technologies and techniques to create efficient processes around data extraction, loading, transformation, governance, and cataloguing for better and reduced time to insights for the business units.
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Demonstrated experience with the data mining tools SAS/Anaconda and SQL preferably through Oracle PL/SQL. Knowledge of Data Governance and DQ framework is a plus. Bachelor/Masters in Computer Science, Finance, Accounting, Economics, Statistics or operational research.
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The Senior Data Scientist will be responsible for the development and implementation of predictive modeling algorithms and techniques to solve complex business problems and optimize member experiences.
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3+ years experience in advanced analytics, statistics, or data science role preferred. The Data Science Advisor position will report to the Senior Manager, CRM and Analytics. Advanced degree in Statistics or related field preferred.
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Experience in querying and manipulating data for analysis — EDA, statistics, and visualizations. Lead Data Scientist. Bachelors or Masters in Statistics, Applied Mathematics, Computer Science, Operations Research, Engineering, Economics or a related field.
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We are looking for an experienced, proactive, and creative Data Scientist to join our team in Edison, New Jersey. Master’s degree or PhD in Engineering, Statistics, Machine Learning, Computer Science, Econometrics, or other quantitative fields.
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The Anti-Money Laundering Modeling and Advanced Data Insights team is on a journey to modernize the way Capital One identifies potential money laundering, terrorist financing, and human trafficking through the use of machine learning, statistics, and other advanced analytic techniques.
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Job Title: Data Scientist. Bachelor's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.
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Research Scientist, Central Applied Science (PhD) Responsibilities Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products.
$116,002 - $168,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Master’s degree in data science, statistics, computer science, computer engineering, or information systems. Master’s degree in data science, statistics, computer science, computer engineering, or information systems and 5 years of relevant experience, or.
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Ph. D. in Computer Science, Bioinformatics, Computational Biology, Statistics or a related quantitative discipline with at least 3 years experience working on real-world data. The successful candidate will focus on developing and applying innovative computational approaches to analyzing proteogenomics data spanning genomics, transcriptomics, proteomics, phosphoproteomics and other posttranslational modifications from cancer, cardiovascular, infectious and other diseases being actively studied in our group at Broad.
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