Description

You will design, build, and deploy data-driven solutions that power strategic business decisions and intelligent automation.

Responsibilities

• Lead end-to-end development of machine learning and statistical models, from exploration to deployment.
• Collaborate with Product, Engineering, Business, and AI teams to identify data science opportunities.
• Implement Generative AI, LLMs, and LangChain for intelligent automation and conversational AI.
• Build and optimize ETL data pipelines using Python, SQL, and cloud services.
• Perform A/B testing, model evaluation, and communicate findings using dashboards.

Required Skills

• 7+ years of professional experience in Data Science.
• Expert proficiency in Python and SQL.
• Hands-on experience with ML/DL frameworks: Scikit-learn, TensorFlow, PyTorch, Keras.
• Experience applying advanced techniques in Predictive Modeling and Deep Learning.
• Familiarity with cloud platforms: AWS (SageMaker, Bedrock), Azure ML, GCP AI Platform.
• Proficiency in data tools: Pandas, NumPy, Airflow, Snowflake.
• Experience with visualization tools: Power BI, Tableau, Plotly.
• Solid foundation in statistics, probability, and linear algebra.
• Experience with MLOps concepts including Docker and Git.

Key Skills

Education

Any Graduate