Data Scientist
Tasks
- Apply operations research optimization
- Automate data processing pipelines
- Build data models
- Collaborate on ML pipeline reliability
- Communicate insights with stakeholders
- Create survival models
- Develop AI systems for production deployment
- Develop machine learning models for production
- Ensure data quality and scalability
- Perform time series forecasting
- Solve logistics problems with optimization
- Translate business problems into ML and optimization tasks
Perks/Benefits
- Cafeteria benefits plan
- English classes
- Ergonomic office equipment
- Hackathons
- Hybrid work model
- MacBook or Dell equipment
- Medical insurance
- Paid volunteering day
- Remote work days
- Sports benefits
- Team events
- Training budget
Skills/Tech-stack
Airflow | BigQuery | CatBoost | Cloud platform | Decision Trees | Deep learning | Gemini | Google Cloud | Google Cloud Platform | Graph analytics | Langgraph | MILP | Machine Learning | Neural Networks | OR-Tools | Optuna | Pandas | Pipelines | Polars | Prophet | PyTorch | Python | SQL | Scikit-learn | Survival analysis | Time Series | Vertex AI | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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