Senior Data Scientist

Skill Set :

Data Science

Machine Learning

Data Modelling and Statistical Analysis

Experience in Python , DBs and ML packages

Experience in Flask API , Cloud services (Azure, AWS, Open AI , Gemini Flash)

Experience in version control and collaborating with development teams

Knowledge of Deep Learning Frameworks(Pytorch / TensorFlow etc)

Responsibility

Sanitize, analyze, and preprocess structured and unstructured data using tools like Pandas, NumPy, SQL, and Spark.

Implement ML algorithms using Python and libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost. Perform feature engineering , model tuning, and validation to optimize model performance. Develop dashboards and reports using tools like Power BI, Tableau , or Streamlit for stakeholder communication.

Continuously monitor and improve the performance of deployed models.

Stay updated with the latest trends in ML/AI and bring innovative ideas to the table.

ML data scientists in finance having knowledge in working on the below mentioned:

Risk Modelling : Developing predictive models for credit risk scoring, customer churn, Propensity, and fraud detection.

Customer Analytics : Creating customer segmentation and churn prediction models.

Trading & Investment : Applying ML to high-frequency trading strategies and asset management.

Delete : Develop dashboards and reports using tools like Power BI, Tableau, or Streamlit for stakeholder communication.