Senior Data Scientist – Python, SQL, Machine Learning, Azure ML & Databricks
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Job Summary
Job Title: Senior Data Scientist Python SQL Machine Learning Azure ML & Databricks
Job Description
Experience Required
- 810 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 environments
- 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
Desirable Skills
- Azure Machine Learning (Azure ML)
- Databricks
Skills
- Azure Machine Learning (Azure ML)
- Databricks
Required Skills:
60-70
Required Education:
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