Is developing skills and interests in at least one of the four areas: Computer Vision, Natural Language Processing, Machine Learning, and Forecasting.
Understands and can translate basic data-related client requirements into actionable tasks under guidance.
Contributes to the implementation of data solutions within their projects under supervision, with a focus on learning and applying skills in their area of interest.
Is gaining proficiency in writing clean, efficient code and has a basic understanding of APIs, databases (both SQL and NoSQL), and business logic.
Assists in the resolution of basic data science-related issues within their project under supervision, learning from the process.
Participates in the review process and helps ensure adherence to performance parameters for data science tasks under supervision, with a focus on learning about data quality and model performance.
Actively participates in learning initiatives for upskilling and cross-skilling in data science, and shares learnings with the team. Contributes ideas and insights towards the development of new data science solution offerings under guidance.
Starts to build relationships with team members and stakeholders, focusing on understanding their roles and learning from their experience.
Keeps up-to-date with industry trends in data science to ensure personal growth and the competitive advantage of the team and organization.
