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Data Science Manager
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Roles and Responsibilities:Lead and drive data science initiatives, providing strategic guidance and technical expertise to the team.Apply advanced data science methodologies, mathematics, and machine learning techniques to solve complex and strategic business problems.Collaborate closely with cross-functional teams, including engineers, product managers, and business stakeholders, to develop and deploy cutting-edge data science solutions.Conduct in-depth analysis of large and complex datasets, extracting valuable insights and driving actionable recommendations.Present findings, insights, and strategic recommendations to senior stakeholders, influencing key business decisions.Identify key metrics and develop executive-level dashboards to monitor performance and provide actionable insights.Oversee multiple projects simultaneously, ensuring high-quality deliverables within defined timelines.Mentor and guide junior data scientists, fostering their professional growth and promoting a culture of innovation and excellence.Continuously explore and implement advanced data science methodologies and emerging technologies to enhance solutions.Collaborate with research teams and stay updated with the latest advancements in the field of data science.Mandatory Qualifications:10-12 years of experience in a data science role, with a proven track record of delivering impactful solutions and building and managing high performance teams.Advanced degree (Master's or Ph.D.) in a quantitative field, such as Computer Science, Statistics, Mathematics, or related disciplines.Extensive expertise in advanced machine learning techniques, statistical analysis, and mathematical modeling.Mastery of programming languages such as Python, R, and Scala, with experience in building scalable and efficient data science workflows.Vast experience with big data processing frameworks (e.g., Hadoop, Spark) and deep learning frameworks (e.g., TensorFlow, PyTorch).Strong leadership skills, with the ability to guide and inspire a team, prioritize tasks, and drive successful outcomes.Excellent communication and presentation skills, with the ability to effectively convey complex concepts to technical and non-technical stakeholders.Drive collaboration between data science, product management, and engineering teams to ensure alignment on project goals and seamless integration of machine learning solutions into products.Facilitate regular cross-functional meetings and workshops to identify key business challenges, drive data democratization, and brainstorm innovative and cost effective solutions.Deep experience with cloud platforms (e.g., AWS, Azure, GCP) and their data science tools and services.A passion for continuous learning and staying up-to-date with the latest advancements in data science.Demonstrated ability to think strategically, solve complex problems, and deliver innovative solutions.
Location: Bangalore
