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Rapid
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10 Rapid Canvas Jobs
Data Scientist - Product
Rapid Canvas
posted 3+ weeks ago
Job Role Insights
Key skills for the job
Job Description
- Data Science Enablement: Develop and refine the product features that bring data science capabilities to the forefront, ensuring business users can easily build and interact with machine learning models through an intuitive UI.
- User Experience Focus: Work with product and design teams to build user-centric features that simplify complex data science workflows, ensuring the UI is intuitive and meets user needs.
- Collaborate Across Teams: Partner with product managers, UX/UI designers, and engineering teams to align technical solutions with business goals and user experience requirements.
- Prototype and Validate: Create prototypes to validate data science features and workflows, ensuring they are both technically sound and user-friendly.
- Testing and Quality Assurance: Ensure that the data science components you develop are thoroughly tested, scalable, and reliable, meeting high standards of quality and performance.
- Continuous Improvement: Actively contribute to the enhancement of product features, keeping scalability, maintainability, and user experience in mind.
- Strong background in data science, with experience in machine learning, model development, and data-driven problem-solving.
- 2-5 years of work experience
- Solid programming skills, particularly in Python, and familiarity with machine learning frameworks.
- An eye for user experience and an interest in building intuitive, easy-to-use data science interfaces.
- Ability to work collaboratively across different teams, including product, design, and engineering.
- Understanding of software engineering best practices, including testing, version control, and CI/CD.
- Familiarity with cloud platforms (AWS, GCP) is a plus
Employment Type: Full Time, Permanent
Read full job description What people at Rapid Canvas are saying
Rating based on 1 Data Scientist
review
Anonymous · Data Science & Analytics
Learning opportunities. Friendly peers, manager, leadership team.
- Skill development - Good
Fast paced culture. Internal/client pressure. Working on weekends.
Data Scientist salary at Rapid Canvas
Rapid Canvas Benefits
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