Senior Applied Data Scientist
Tasks
- Build predictive modeling systems
- Build statistical models for business problems
- Collaborate with cross-functional teams
- Communicate insights to non-technical audiences
- Conduct anomaly detection
- Define data science business requirements
- Deliver technical presentations
- Deploy data science solutions
- Develop analytics pipelines
- Ensure model governance compliance
- Explore generative AI opportunities
- Generate synthetic data
- Implement data science best practices
- Lead machine learning model development
- Own data science project lifecycle
- Provide technical mentorship
Perks/Benefits
- N/A
Skills/Tech-stack
Analytics Pipelines | CI/CD | Containerization | Deep learning | Docker | Git | Language Processing | Machine Learning | Natural Language | Natural Language Processing | NumPy | Pandas | Polars | PyTorch | Python | SQL | Scikit-learn | Supervised Learning | Transformers | Unix/Linux | Unsupervised Learning | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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