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.