Role overview
*Position: ML Data Scientist Position
Location: Remote
Duration: 6-12 months of contract with possible extension
Role Summary:**
Ideal candidate will have strong
**Time-Series forecasting, sales forecasting, LGBM (LightGBM) and Darts library.
What we're looking for
- ML Engineer Preferred: Ideally, the candidate should be an ML Engineer, though seasoned Data Scientists with relevant experience are suitable.
- Python & SQL: Strong coding and data manipulation skills.
- Time-Series Forecasting:Experience with LGBM (LightGBM) and Darts library.
- MLOps Expertise Preferred: Hands-on experience with Astronomer, Airflow, and DAG creation.
- Capable of building wrappers and scalable pipelines. This skill is highly valuable, but not a deal breaker.
- Cloud Platforms: Proficient in AWS, with exposure to GCP preferred.
- Debugging & Troubleshooting: Skilled in investigating and resolving issues in Python experiments and executions.
- GitHub Proficiency: Comfortable working in repositories with many contributors, managing branches, pull requests, and code reviews.
- Collaboration & Work Style
- Self-Starter: Able to work independently and proactively contribute ideas.
- Team-Oriented: Willing to support Roman and Calvin while offering directional guidance on model enhancements.
- Fast Learner: Quick to adapt to new tools, workflows, and business contexts to rapidly onboard into the project.
Tags & focus areas
Used for matching and alerts on DevFound Machine Learning Data Science Mlops Pytorch Tensorflow Ai Fulltime