Senior Applied Data Scientist
Tasks
- Break down business problems with ROI focus
- Collaborate with cross-functional teams
- Create and automate data science ML models and pipelines
- Deploy and monitor ML models
- Develop data science and machine learning solutions
- Develop generative AI solutions
- Document processes, code, and findings
- Perform feature generation modeling evaluation and retraining
- Research latest AI and machine learning techniques
- Translate analytical findings into actionable insights
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Apache Arrow | Apache Spark | B testing | Clustering | Containerization | Dask | Data Wrangling | DataOps | Deep learning | Distributed Computing | Docker | ETL | Feature Engineering | Generative AI | Language Models | Large Language Models | MLOps | Machine Learning | Model Evaluation | Observability | OpenTelemetry | Pandas | PyTorch | Python | Regression | SQL | SVM | Scikit-learn | Statistical Analysis
Education
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