Senior Data Scientist
Tasks
- Build and maintain data pipelines and feature engineering frameworks
- Collaborate with data engineers and MLOps for production readiness and monitoring
- Communicate results to technical and non-technical stakeholders
- Drive measurable business outcomes through machine learning
- Evaluate and adopt emerging AI tools and techniques
- Harness agentic AI and LLM tools for analysis and automation
- Lead end to end data science projects to production deployment
- Mentor junior data scientists and share best practices
- Translate business challenges into well defined problems
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS | Agentic AI | Azure | B testing | Causal Inference | Cloud Computing | Data Pipelines | Data Warehouses | Feature Engineering | GCP | Graph Algorithms | Kubeflow | LLM | Langchain | Langgraph | Large Scale Data | Large-scale | Large-scale data warehouses | MLOps | MLflow | Machine Learning | NLP | Pandas | Prompt engineering | PyTorch | Python | RAG | SQL | Scikit-learn | Series forecasting | Statistical modeling | TensorFlow | Time Series | Time Series Forecasting | Vector Databases | XGBoost
Education
Roles
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