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Minimum 4 years of experience in data analytics cycle (data gathering, transformation, mining, modeling, analytics, and reporting) using data analytics tools like SAS, Alteryx, Tableau, PowerBI, SQL, R, Python and/or ACL.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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You have strong quantitative skills, including familiarity with Excel/VBA , R, and/or Python and their respective data manipulation, statistical modelling, and visualization packages.
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Statistical analysis of national security data (with proficiency in R, Stata, Python, SAS or other statistical analysis software) Applying artificial intelligence, machine learning, and data mining techniques to national security-relevant problems.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Strong expertise in building predictive models, statistical analyses, and data visualization using tools such as SQL, R, Python, and Tableau. Leverage statistical modeling, machine learning, and data mining techniques to optimize media strategy and budget allocation.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Knowledge, Skills, and Abilities (KSAs): Data Integration; SAS Tools; SQL/SAS; Web Report Studio; Written Communication; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Project Management; Business Planning.
$90,300 - $116,820 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Research Data Scientist participates in biomedical research projects using programming, data-mining, statistics, machine learning, and visualization techniques to develop, evaluate, and/or apply algorithms and software for data analysis.
$94,764 - $161,096 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Experienced in popular open-source and commercial data science platforms such as Python, R, KNIME, Alteryx, others is a strong plus but not required/compulsory. Strong technical understanding of data modeling (data vault 2.0), data mining, master data management, data integration, data architecture, data virtualization, data warehousing and data quality techniques with hands on experience using data management technologies like Informatica PowerCenter/IICS, Collibra, Master Data Management, DBT Cloud, Denodo and Golden Gate.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Analyzing large data sets using programming languages such as Python, R, SQL and/or Spark. Guide team to utilize Hadoop infrastructure to perform advanced data mining and develop statistical and ML models, as needed.
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Masters or a Ph. D. degree in Data Science, Economics, Statistics, Applied Mathematics, Computer Science, Operations Research, Business Analytics, or a related technical field. You will lead data science support for our product partners in the Global Buyer and Seller Solutions team, and will be based at Visa's offices in Foster City, CA.
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Senior Director, Global Buyer & Seller Solutions, Global Data Science. + Building predictive and descriptive statistical models using machine learning tool kit, Jupyter notebooks, Python etc.
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Utilize SQL/Python/R or other relevant statistical tools for data mining and predictive analytics. Proficiency with advanced graphics/visualization software/packages (e.g. R-Shiny, ggplot, plotly, matplotlib, Tableau, Data Studio.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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The Data Scientist must be fluent in one (1) or more data manipulation programming languages (e.g., R, Python, Scala, etc.) The Data Scientist must be proficient at working with structured and unstructured datasets of varying sizes and complexity, with experience working in big data management and data mining.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Experience fine-tuning, evaluating, and deploying Large Language Models (LLM) is a plus5+ years' experience working with common data science toolkits, such as R, Weka, Python/NumPy, MatLab, etc.
RemoteExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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A deep understanding of applied statistics including sampling approaches, causal modeling, time series analysis, and data-mining techniques. Proficiency in advanced analytical tools (e.g. SQL, Python, R.
Full-timeExpandApply NowActive JobUpdated 8 days ago
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