Job Description

Responsibilities: Demonstrates good skills and is developing specialization in at least one of the four areas: Computer Vision, Natural Language Processing, Machine Learning, and Forecasting. Translates data-related client requirements into actionable tasks and can handle moderately complex data-related problems and solutions. Actively contributes to the development and implementation of data solutions within their projects, focusing on their area of specialization. Is proficient in writing clean, efficient code and developing APIs. Comfortable with consuming 3rd party or internal APIs and implementing business logic as middleware. Has knowledge of databases, both SQL and NoSQL, and can effectively work with them for data extraction, transformation, and loading. Assists in the resolution of data science-related issues within their project, escalating to higher levels when necessary. Participates in the review process and helps ensure adherence to performance parameters for data science tasks, with a focus on data quality and model performance. Actively participates in learning initiatives for upskilling and cross-skilling in data science, and shares knowledge with the team. Contributes ideas and insights towards the development of new data science solution offerings.6Private and Confidential Encourages junior team members to build technical skills and innovate within the realm of data science. Begins to build relationships with clients and stakeholders, focusing on understanding their data-related needs and delivering value. Keeps up to date with industry trends in data science to ensure personal growth and the competitive advantage of the team and organization