Senior Data Scientist – Python, SQL, Machine Learning, Azure ML & Databricks

Job Title:

Senior Data Scientist – Python, SQL, Machine Learning, Azure ML & Databricks

Job 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.

• 8–10 years

• 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 environments
• Azure
• Azure Machine Learning (Azure ML)
• Databricks
• MLflow

• 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.

• Churn Prediction
• Member Personalization
• Recommendation Systems
• Marketing Optimization
• Anomaly Detection
• Experimentation Frameworks

• Azure Machine Learning (Azure ML)
• Databricks

• Azure Machine Learning (Azure ML)
• Databricks