Lead Data Scientist

Job Summary:

As the Functional Head of Data Science, you will lead the team responsible for leveraging data to create insights, predictive models, and advanced AI/ML solutions. Your role will bridge business requirements with technical expertise, using Python and state-of-the-art data tools to drive decision-making and innovation.

Key Responsibilities:

Lead the design, development, and deployment of data-driven solutions, leveraging Python and machine learning frameworks.

Oversee data strategy, ensuring quality, governance, and security.

Build and optimize predictive models to solve business challenges.

Collaborate with cross-functional teams to integrate data science workflows with Rust-based microservices and cloud platforms.

Mentor and guide the data science team, fostering a culture of continuous learning.

Stay updated with the latest advancements in AI/ML and recommend their adoption.

Required Skills and Qualifications:

Proficiency in Python and data science libraries (TensorFlow, PyTorch, Pandas, Scikit-learn).

Expertise in AI/ML algorithms, statistical modeling, and data visualization.

Good to have experience with big data tools like Hadoop, Spark, or similar.

Knowledge of deploying models in production environments.

Strong understanding of data governance and compliance standards.

Leadership experience with a focus on team management and innovation.

Advanced degree in Data Science, Machine Learning, Statistics, or related field.

Experience with real-time analytics and streaming data frameworks (e.g., Kafka, Flink).

Familiarity with graph-based databases like Neo4j or JanusGraph.

Knowledge of AutoML,MLops, frameworks and tools.

Exposure to cloud-based AI/ML services (AWS SageMaker, Google AI Platform, Azure ML).

Working Experiance on LLM, LAMA, Mistral, RAG, Agentised RAG, LORA, and Model Optimization