Data Scientist
Tasks
- Build frontend interfaces
- Develop backend APIs and services
- Develop data science and generative AI solutions
- Document product changes
- Engineer features
- Maintain deployed data science models
- Perform data wrangling and analysis
- Research and adopt emerging AI techniques
- Review and fix security vulnerabilities
- Understand business priorities
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | Anomaly Detection | Chroma | Chunking | Classification | Context engineering | Context window | Context window management | Customer Segmentation | Data Preprocessing | Deep learning | Docker | Embeddings | Express | Faiss | FastAPI | Feature Engineering | Feature extraction | Flask | Fraud Detection | Generative AI | Git | Hugging Face | Hugging Face Transformers | Kubernetes | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | Machine Learning | Matplotlib | Microstrategy | NLTK | Natural Language | Natural Language Processing | NumPy | Pandas | Pinecone | Power BI | Prompt Optimization | Prompt engineering | Python | Qlik | RAG | REST API | REST API Development | RESTful APIs | React | Regression | Retrieval-Augmented Generation | SQL | Scikit-learn | Spacy | Tableau | Text Analytics | Token Management | Tokenization | TypeScript | Vector Databases | Window management | XGBoost
Education
Roles
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