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    Lead Data Scientist - Cairo, مصر - SSC Egypt

    SSC Egypt
    SSC Egypt Cairo, مصر

    منذ 10 ساعات

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    وصف
    • Responsibilities:
    • Work with large datasets and solve difficult analysis problems, applying advanced analytical methods.
    • Conduct end-to-end analyses, including data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations
    • Build and prototype analysis and ML model pipelines iteratively to provide insights at scale.
    • Develop a comprehensive understanding data structures and metrics, advocating for changes in product development and sales activity.
    • Make actionable business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
    • Research and develop analyses, forecasting, and optimization methods across customer segmentation, end-user behavioral modeling, and live A/B experiments
    • Manage and technically lead a data science team.
    • Interact cross-functionally with a wide variety of leaders and teams, and work closely with Engineers and Product Managers to identify design opportunities and assess improvements

    Requirements

    • Doctorate's degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering).
    • 10 years of tech industry work experience as a statistician, bioinformatician, or data scientist
    • Experience in statistical data analysis, such as linear models, multivariate analysis, stochastic models, and sampling methods.
    • 4 years of leadership experience, including people management.
    • Applied experience with machine learning on large datasets.
    • Experience articulating business questions and using mathematical techniques to arrive at an answer using available data
    • Ability to select the right statistical tools given a data analysis problem
    • Master's degree in a quantitative discipline (e.g., Statistics, Bioinformatics, Economics) or equivalent practical experience
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