Data Science
Bangalore, KA, IN, 560100
INR 2000K-4000K (estimate) Senior-level Full Time
Tasks
- Analyze overfitting false discovery bias and model generalizability
- Build validate and refine machine learning and statistical models
- Collaborate with stakeholders on analytics objectives
- Define data science standards best practices reusable assets
- Develop feature engineering statistical estimation hypothesis testing
- Document methodologies assumptions results and recommendations
- Drive iterative model development and analytics continuous integration and deployment
- Lead data ingestion cleansing transformation aggregation
- Lead end-to-end data science lifecycle
- Leverage cloud platforms for elastic high volume workloads
- Mentor junior data scientists and analysts
- Optimize performance scalability and production readiness
- Present insights to technical and non-technical stakeholders
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | CI/CD | Causal Inference | Cloud Computing | Data Visualization | Database Indexing | Databricks | Feature Engineering | GCP | Hypothesis Testing | Language Processing | Machine Learning | Materialized views | Model Evaluation | Model Tuning | NLP Libraries | Natural Language | Natural Language Processing | Object-Oriented | Object-oriented programming | Power BI | Python | SAS | SQL | Scala | Schema on read | Series analysis | Statistical modeling | Stored Procedures | Tableau | Time Series | Time Series Analysis
Education
N/A
Roles
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