Senior Data Scientist

As a Senior Data Scientist ,you will lead the design and execution of advanced data science projects that drive strategic business decisions. This role requires a deep understanding of machine learning, statistical modeling, and data analytics to uncover insights and deliver impactful solutions. You will collaborate with cross-functional teams to translate complex data into actionable strategies, mentor junior team members, and contribute to the continuous improvement of Teradata’s data science capabilities.Key Duties And ResponsibilitiesLead Data Science Projects: Manage the full lifecycle of data science initiatives—from problem definition and data exploration to model development and deployment.Build Predictive Models: Design and implement machine learning and statistical models to solve business challenges and forecast outcomes.Analyze Complex Datasets: Perform deep data analysis to identify trends, patterns, and opportunities for optimization.Collaborate Across Teams: Work closely with data engineers, product managers, and business stakeholders to align data solutions with organizational goals.Deploy and Monitor Models: Ensure models are scalable, reliable, and integrated into production systems with ongoing performance monitoring.Mentor and Guide: Support the growth of junior data scientists by sharing best practices, reviewing work, and fostering a culture of continuous learning.Communicate Insights: Present findings clearly to both technical and non-technical audiences, turning data into compelling narratives and strategic recommendations.Stay Current: Keep up with the latest advancements in AI, machine learning, and data science to enhance existing methodologies and tools.Must-Have QualificationsMinimum 5 years of experience in data science or analyticsProficiency in Python and SQLStrong foundation in statistical analysis and machine learningExpertise in deep learning algorithms and Generative AI (GenAI)Excellent communication and presentation skills