Data Scientist
Tasks
- Build statistical models to solve business problems
- Co create analytics projects from concept to productization
- Collaborate with data engineers on GCP data processing
- Create and evaluate deep learning and generative AI solutions
- Develop machine learning solutions for production
- Implement offline and online models
- Mentor teammates and share knowledge
- Perform causal inference optimization and Bayesian analysis
- Work with tabular spatial text image and time series data
Perks/Benefits
- Annual bonus
- Cafeteria benefits
- English classes
- Hackathons
- Hybrid work
- Medical insurance
- Remote work days
- Training budget
- Volunteering day off
Skills/Tech-stack
Agentic AI | Airflow | Bayesian Methods | Causal Inference | Cloud Composer | Cloud Dataflow | Computer Vision | Consul | Deep learning | Docker | GCP | Generative AI | GitHub | GitHub Actions | Google BigQuery | Google Cloud | Google Cloud Composer | Google Cloud Dataflow | Kubernetes | LLM | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Prompt engineering | PySpark | Python | SQL | Time Series | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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