Data Science Manager

As a Data Science Team Lead, your role involves overseeing the development and deployment of machine learning models and advanced analytics solutions. You will define and execute data strategies aligned with business objectives, ensuring actionable insights drive decision-making. Collaborating with cross-functional teams like engineering, product, and business stakeholders, you will identify and solve complex data-related challenges. It is crucial to ensure data integrity, governance, and security while optimizing data pipelines and infrastructure for scalability. Your responsibility also includes mentoring and developing data scientists by providing technical guidance, performance feedback, and career development support. Stay updated on emerging trends, technologies, and best practices in data science and artificial intelligence (AI) to keep your team ahead in the field. Key Responsibilities: - Lead and manage data science teams to develop and deploy machine learning models and advanced analytics solutions. - Define and execute data strategies aligned with business objectives for informed decision-making. - Collaborate with cross-functional teams to identify and solve complex data-related challenges. - Ensure data integrity, governance, and security while optimizing data pipelines for scalability. - Mentor and develop data scientists by providing technical guidance and career development support. - Stay updated on emerging trends, technologies, and best practices in data science and AI. Qualifications Required: - Strong problem-solving and analytical thinking skills - Leadership and people management abilities - Business acumen to drive measurable value - Effective communication skills for conveying technical concepts - Decision-making capabilities based on data-driven approaches - Proficiency in Python, R, or SQL programming languages - Expertise in machine learning frameworks like TensorFlow, PyTorch, and Scikit-Learn - Experience with big data technologies like Spark and cloud platforms such as AWS, Azure, or GCP - Strong understanding of statistical modeling, predictive analytics, and deep learning - Experience with data visualization tools like Quicksight, Power BI, and Matplotlib - Experience with GenAI APIs, LLMs, Vectorization, Agentic AI, and prompt engineering for domain-specific solutions - Ability to build reusable model pipelines and manage deployments using MLflow and Docker Additional Company Details: This job opportunity is based in Trivandrum, Kerala, India. As a Data Science Team Lead, you will play a crucial role in leading and managing data science teams, developing and deploying machine learning models and advanced analytics solutions. Your expertise in data strategies, collaboration with cross-functional teams, and mentoring of data scientists will be key in driving actionable insights and ensuring scalable data infrastructure. Stay updated on the latest trends in data science and AI to effectively communicate findings and drive business impact. As a Data Science Team Lead, your role involves overseeing the development and deployment of machine learning models and advanced analytics solutions. You will define and execute data strategies aligned with business objectives, ensuring actionable insights drive decision-making. Collaborating with cross-functional teams like engineering, product, and business stakeholders, you will identify and solve complex data-related challenges. It is crucial to ensure data integrity, governance, and security while optimizing data pipelines and infrastructure for scalability. Your responsibility also includes mentoring and developing data scientists by providing technical guidance, performance feedback, and career development support. Stay updated on emerging trends, technologies, and best practices in data science and artificial intelligence (AI) to keep your team ahead in the field. Key Responsibilities: - Lead and manage data science teams to develop and deploy machine learning models and advanced analytics solutions. - Define and execute data strategies aligned with business objectives for informed decision-making. - Collaborate with cross-functional teams to identify and solve complex data-related challenges. - Ensure data integrity, governance, and security while optimizing data pipelines for scalability. - Mentor and develop data scientists by providing technical guidance and career development support. - Stay updated on emerging trends, technologies, and best practices in data science and AI. Qualifications Required: - Strong problem-solving and analytical thinking skills - Leadership and people management abilities - Business acumen to drive measurable value - Effective communication skills for conveying technical concepts - Decision-making capabilities based on data-driven approaches - Proficiency in Python, R, or SQL programming languages - Expertise in machine learning frameworks like TensorFlow, PyTorch, and Scikit-Learn - Experienc