Data Scientist | Forensic and Litigation Consulting
Tasks
- Bring models to production
- Build relational databases
- Conduct data quality assessments
- Create data visualizations
- Debug and support junior data scientists
- Develop ETL processes
- Execute statistical analysis
- Implement ModelOps
- Lead meetings with stakeholders
- Optimize model pipelines
- Partner with internal and external stakeholders
- Perform data ingestion quality control
- Research proof of concept model selection
- Run exploratory data analysis
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Spark | Cloud platform | Clustering | Cross-validation | Databricks | Docker | Ensemble learning | FastAPI | Flask | Forecasting | Git | Google Cloud | Google Cloud Platform | Graph theory | Hashing | Huggingface | Langchain | Language Processing | Llamaindex | ML Ops | MLflow | MSSQL | Microsoft Azure | ModelOps | Multiprocessing | Natural Language | Natural Language Processing | Object-Oriented | Object-oriented programming | Oracle | PL/SQL | PL/pgSQL | Parallel processing | PostgreSQL | PyTorch | Python | RAG | Recommendation Systems | Regression | Retrieval-Augmented Generation | SQL | Scikit-learn | Space complexity | Spacy | T-SQL | TensorFlow
Education
Roles
Regions
Countries
States
Cities
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