Data Scientist

Responsibilities:

Perform in-depth data analysis and create visual representations to uncover patterns and trends.

Build and implement AI/ML models to forecast outcomes and streamline business processes.

Design and carry out experiments to test hypotheses and validate model performance.

Communicate with Stakeholders, presenting findings and insights in an actionable manner.

Qualifications:

Minimum of 3 years in a fast-paced financial or similar environment.

Proficient in Python and R, with experience in libraries like Pandas, scikit-learn, and TensorFlow.

Skilled in data visualization tools (like Tableau).

Strong understanding of statistical methods and their application in data analysis.

Capable of writing complex SQL queries to extract and manipulate data.

Ideally exposure to Cloud Platforms (like GCP), Big Data Tools (Spark and Kafka), and ETL Processes (data pipeline design)