Description

You will drive the development and deployment of advanced data science solutions.

Responsibilities

• Develop and implement machine learning models and advanced analytics solutions.
• Analyze large-scale structured and unstructured data from multiple sources.
• Collaborate with product, engineering, and business teams to define and deliver analytical solutions.
• Deploy and monitor ML models in production environments.
• Research and integrate the latest data science techniques and industry best practices.

Required Skills

• 10+ years of professional experience.
• 3+ years analyzing large-scale data from diverse sources.
• 2+ years of strong proficiency in Python.
• Hands-on experience with ML libraries including TensorFlow, PyTorch, XGBoost, and scikit-learn.
• Solid knowledge of SQL and experience with large-scale data infrastructure like Spark and Hadoop.
• Experience using data visualization tools such as Tableau or Power BI.
• Experience deploying models using Docker or cloud services (AWS/GCP/Azure).

Preferred Skills

• Familiarity with MLOps practices and tools.
• Experience leading data science projects end-to-end.

Key Skills

Education

Any Graduate