Description

You will drive the adoption and technical success of data science platforms.

Responsibilities

• Develop and contribute tools that simplify platform operations.
• Provide technical support to data scientists, troubleshooting issues and offering guidance on best practices.
• Gather developer feedback and advocate for community needs to platform teams.
• Foster an engaged data science community by organizing workshops and events.
• Act as an evangelist for platform technologies, showcasing value through internal and external channels.

Required Skills

• Proficiency in Python or R, with hands-on experience in Pandas, NumPy, and Scikit-learn.
• Demonstrated experience with data visualization tools.
• Strong knowledge of software development best practices, including Git and CI/CD pipelines.
• Understanding of data science platforms, MLOps practices, and model deployment strategies.
• Familiarity with cloud platforms, containerization, and orchestration technologies (Docker, Kubernetes).
• Ability to translate complex technical concepts into accessible documentation and educational content.
• Experience in gathering, synthesizing, and communicating feedback between technical and business stakeholders.
• Minimum of 7+ years of relevant professional experience.

Key Skills

Education

Any Graduate