Director - Data Scientist

Role: Data Scientist - Director Location: Chennai, Tamil Nadu Experience: 12-15 Years Key Responsibilities: Strategic Leadership: Define and execute the companys data science and AI roadmap. Provide direction on model development, deployment, and long-term AI capability building.Model Development: Architect and deliver predictive, generative, and prescriptive models using advanced machine learning and deep learning techniques.AI Platform Engineering: Oversee end-to-end ML pipelines, from data collection and preprocessing to deployment and monitoring in production environments.Data Architecture: Ensure data integrity, scalability, and reproducibility across large and complex datasets.Mentorship: Build and mentor a high-performing team of data scientists and ML engineers. Promote best practices in experimentation, validation, and continuous learning.Innovation: Explore and apply emerging AI methods such as large language models (LLMs), multimodal learning, and reinforcement learning to real-world business problems.Stakeholder Engagement: Present analytical insights and model outcomes clearly and persuasively to technical and executive audiences. Required Skills: Education: Masters or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative fieldExpert proficiency in Python and frameworks such as TensorFlow, PyTorch, and scikit-learn.Strong foundation in statistical modeling, feature engineering, and end-to-end ML pipeline design.Proficiency in SQL and experience with data pipeline orchestration (Airflow, Dataflow, Kubeflow).Deep understanding of MLOps, including CI/CD for ML, model serving, and monitoring.Familiarity with big data technologies (Spark, Hadoop) and data visualization tools (Tableau, Power BI, Matplotlib).Preference for experience or certification with Google Cloud Platform (GCP), including BigQuery, Vertex AI, and Dataflow. Role: Data Scientist - Director Location: Chennai, Tamil Nadu Experience: 12-15 Years Key Responsibilities: Strategic Leadership: Define and execute the companys data science and AI roadmap. Provide direction on model development, deployment, and long-term AI capability building.Model Development: Architect and deliver predictive, generative, and prescriptive models using advanced machine learning and deep learning techniques.AI Platform Engineering: Oversee end-to-end ML pipelines, from data collection and preprocessing to deployment and monitoring in production environments.Data Architecture: Ensure data integrity, scalability, and reproducibility across large and complex datasets.Mentorship: Build and mentor a high-performing team of data scientists and ML engineers. Promote best practices in experimentation, validation, and continuous learning.Innovation: Explore and apply emerging AI methods such as large language models (LLMs), multimodal learning, and reinforcement learning to real-world business problems.Stakeholder Engagement: Present analytical insights and model outcomes clearly and persuasively to technical and executive audiences. Required Skills: Education: Masters or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative fieldExpert proficiency in Python and frameworks such as TensorFlow, PyTorch, and scikit-learn.Strong foundation in statistical modeling, feature engineering, and end-to-end ML pipeline design.Proficiency in SQL and experience with data pipeline orchestration (Airflow, Dataflow, Kubeflow).Deep understanding of MLOps, including CI/CD for ML, model serving, and monitoring.Familiarity with big data technologies (Spark, Hadoop) and data visualization tools (Tableau, Power BI, Matplotlib).Preference for experience or certification with Google Cloud Platform (GCP), including BigQuery, Vertex AI, and Dataflow.