Tech Stack
AirflowDockerKubernetesNumpyPandasPython
About the role
- Take an active part in all development phases, including research, design, development, testing and deployment
- Work using technologies like Python, Docker, Airflow, Kubernetes
- Help grow the data science team's capabilities
- Work independently and be self-driven and motivated
- Collaborate with team members to meet product deadlines and aggressive timelines
Requirements
- You’re a team player, ready to help others meeting aggressive timelines and motivate the team to meet the product deadlines
- B.SC or Master’s degree in Computer Science / Statistics / Math / Engineering
- Have 3+ years of experience developing / doing data science projects with Python
- Fluent with libraries like pandas, numpy, scipy
- Have a good understanding of data structures and databases
- Follow best software engineering practices
- Have a readiness and willingness to continuously learn while working
- Nice to have: Reinforcement Learning experience
- Nice to have: Good intuition in Mathematical Optimization problems
- Nice to have: Experience in MLOps