Anicalls | Jobs | Data Science Associate Manager | BigDataKB.com | 31-03-22

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    Job Location: Bangalore/Bengaluru

    • Ability to work on 2-3 projects simultaneously, scope projects, realistically estimate work, and get customer agreement.
    • Apply appropriate statistical analysis and quantitative methods to analyze data and predict future trends and variability, especially in producing and maintaining reliable forecasts.
    • Contribute high-quality work as an individual contributor, in addition to management duties
    • Identify appropriate decision technology techniques to apply to relevant analytic frameworks.
    • Examples of decision technology tools that may be used include optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models, etc.
    • Ability to balance accuracy of analysis with needs for rapid response.
    • Perform due diligence to ensure data is obtainable for the analysis required, and the analysis can be completed in the timeline requested.
    • Set up a model and conduct analyses using statistical, predictive or optimization tools.
    • Have a clear understanding of the uses and limitations of statistical applications.
    • Document steps, data sources. Ensure models are easily understandable and maintainable.
    • Drive the collection of new data and the refinement of existing data sources.
    • Possess a proven ability to develop partnerships with technical peers and business partners.
    • Lead project teams during all phases of the development life cycle, including requirements gathering and analysis, design, build, pilot, implementation, and continuous service
    • Lead functional teams to manage the end-to-end process: scope projects, build pipelines and datasets, synthesize results, craft automated dashboards/bots, and communicate an informed recommendation.
    • Manage budget, timeline, resources, and scope through prioritization throughout the course of all assigned projects
    • Lead a high-performing, high-throughput team of talented Data Scientists and business analysts, while driving the professional development goals of the team
    • Where relevant, clean, and structured data to facilitate analysis.

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