Job Title: Senior Data Scientist – Python, SQL, Machine Learning, Azure ML & Databricks
Experience Required
8–10 years
Role Description
Senior Data Scientist who can work independently, collaborate effectively with data scientists, ML engineers, data engineers, and business partners, and help accelerate the delivery of enterprise AI and analytics solutions from exploration through production readiness.
Essential Skills
Applied Machine Learning
Statistical Modeling
Analytics and analytical problem-solving
SQL (Expert)
Python (Expert)
Predictive Modeling
Forecasting
Classification
Regression
Experimentation and A/B Testing
Feature Engineering
Model Evaluation
Insights Generation
Data Exploration
Data Preparation
Model Development
Model Validation
Model Interpretation
Communication of insights
Data Visualization using Tableau, Power BI, or similar tools
Cloud-based data science settings
Azure
Azure Machine Learning (Azure ML)
Databricks
MLflow
Responsibilities
Translate business problems into practical data science solutions.
Deliver end-to-end data science solutions from exploration through production readiness.
Perform data exploration and data preparation.
Engineer features for machine learning models.
Develop, validate, and evaluate predictive models.
Interpret model results and generate actionable insights.
Communicate analytical findings to business stakeholders.
Collaborate with data scientists, ML engineers, data engineers, and business partners.
Accelerate the delivery of enterprise AI and analytics solutions.
Valuable Experience
Churn Prediction
Member Personalization
Recommendation Systems
Marketing Optimization
Anomaly Detection
Experimentation Frameworks