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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