Data Scientist (Data Science)
Tasks
- Build machine learning models
- Clean and preprocess data
- Collaborate with cross-functional teams
- Deploy models into business workflows
- Develop and deploy supervised and unsupervised machine learning algorithms
- Develop artificial intelligence and machine learning products
- Develop data cleaning and preprocessing pipelines
- Generate real-time insights
- Integrate APIs into ETL pipelines
- Lead end-to-end data science projects
- Mentor junior data scientists
- Perform statistical modeling
- Test machine learning models
- Translate model outputs into business recommendations
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS | ArangoDB | Artificial Intelligence | Azure | Cloud Platforms | Data Modeling | Data Preprocessing | Data cleaning | Databricks | Dataiku | Docker | ETL | Entity Resolution | GCP | Graph Data | Graph Data Modeling | GraphRAG | Knowledge graphs | Kubernetes | LLM | MLOps | Machine Learning | Matplotlib | Neo4j | Power BI | Python | R | SQL | Statistical modeling | Supervised Learning | Tableau | Unsupervised Learning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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