Lead Data Scientist - Exploratory data analysis, scikit, tensorflow
Gurgaon, Haryana, INDIA; Hyderabad, Telangana, INDIA; Noida, Uttar Pradesh, INDIA
INR 3380K-5449K (estimate) Senior-level Full Time
Tasks
- Apply agile methodologies
- Build and review anomaly detection models
- Build and review classification models
- Build and review time series models
- Conduct exploratory data analysis and statistical analysis
- Create data visualizations
- Deploy models and manage productionization
- Develop automated workflows and pipelines
- Develop feature strategy and impact measurement
- Document communicate findings and methodologies
- Ensure scalability, reliability, and efficiency
- Lead problem framing and modeling strategy
- Manage AI ML project life cycle
- Own end to end data science strategy and delivery
- Perform feature engineering
- Perform model drift analysis
- Tune models and monitor performance
- Use GitHub for code version control
Perks/Benefits
Skills/Tech-stack
Agile | Alerts | Anomaly Detection | Azure | Classification | Cost Forecasting | DAG | Data Analysis | Data Pipelines | Data Visualization | Databricks | Drift analysis | Exploratory Data Analysis | Feature Engineering | Feature Store | GitHub | Logging | MLOps | Machine Learning | Matplotlib | Model Monitoring | Monitoring | Power BI | Propensity Modeling | PyTorch | Python | SQL | Scikit-learn | Seaborn | Snowflake | Statistical Analysis | TensorFlow | Time Series | Uplift Modeling
Education
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
Regions
Countries
States
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