๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ฎ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ฐ๐ฎ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ฎ๐ฌ-๐ฐ๐ฎ ๐๐ฃ๐)
Experience: 7+ yrs
Location: India
As a Manager Data Science, you will spearhead the development and execution of advanced analytical strategies that drive business insights and operational excellence across multiple domains. You will lead a crossโfunctional team of data scientists, analysts, and engineers, translating complex data challenges into robust, scalable solutions that impact key decisionโmaking processes. Your role will involve setting the vision for probabilityโbased modeling, statistical inference, and machine learning initiatives, while ensuring rigorous practices in time series forecasting and Bayesian analysis. You will collaborate with stakeholders to prioritize projects, guide model deployment, and measure performance, all while maintaining high standards of data integrity and compliance.
Requirements
๐๐ฒ๐ ๐ฅ๐ฒ๐๐ฝ๐ผ๐ป๐๐ถ๐ฏ๐ถ๐น๐ถ๐๐ถ๐ฒ๐
โขLead the design, development, and deployment of predictive models using machine learning and statistical techniques.
โขOversee endโtoโend data science projects, from hypothesis generation to productionโgrade solution delivery.
โขDrive the adoption of Bayesian methods to enhance probabilistic inference and decisionโsupport systems.
โขMentor and coach a team of data scientists, fostering a culture of continuous learning and innovation.
โขCollaborate with product, engineering, and business leaders to translate data insights into actionable strategies.
โขDevelop and maintain robust reproducibility frameworks, ensuring model transparency and auditability.
โขChampion the use of advanced time series techniques for demand forecasting, anomaly detection, and trend analysis.
โขIntegrate operations research methodologies to optimize complex logistics, supply chain, or resource allocation problems.
โขEstablish performance metrics and monitoring dashboards to evaluate model efficacy and business impact.
โขStay abreast of emerging trends in data science, statistical modeling, and AI, and recommend their application to the organization.
๐ช๐ต๐ฎ๐ ๐ ๐ฎ๐ธ๐ฒ๐ ๐ฌ๐ผ๐ ๐ฎ ๐๐ฟ๐ฒ๐ฎ๐ ๐๐ถ๐
โขProven experience (7+ years) leading data science teams and delivering highโimpact analytical solutions.
โขDeep expertise in probability theory, statistical inference, and machine learning algorithms.
โขStrong background in Bayesian data analysis for predictive modeling and decisionโmaking.
โขProficiency in time series forecasting, including ARIMA, Prophet, and stateโspace models.
โขHandsโon knowledge of operations research techniques such as linear programming, MIP, and simulation.
โขAdvanced programming skills in Python, R, or similar, with experience in scalable data pipelines.
โขDemonstrated ability to translate complex analyses into clear, actionable business recommendations.
โขExcellent communication and stakeholder management skills across technical and nonโtechnical audiences.
โขA track record of mentoring junior talent and building highโperforming analytics teams.
โขPassion for continuous learning and staying current with cuttingโedge research and industry best practices.