Data Scientist

Role & responsibilities

• Develop, maintain, and optimize scalable software solutions for the Prompt Engineering project, adhering to industry best practices.
• Collaborate closely with cross-functional teams, including Data Scientists, Engineers, and Product Managers, to understand project requirements and deliver high-quality, efficient solutions.
• Conduct thorough data analysis, including EDA and PCA, to extract actionable insights and drive informed decision-making.
• Design and implement robust data processing pipelines to handle large volumes of data efficiently.
• Continuously evaluate and improve software performance, reliability, and scalability through rigorous testing and optimization.
• Stay updated on the latest advancements in Python, MySQL, and Data Science fields, and proactively apply new knowledge to enhance project outcomes.

Preferred candidate profile

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience in Python development, with a deep understanding of core concepts and libraries.
• Strong proficiency in MySQL, including database design, optimization, and maintenance.
• Solid background in Data Science, with hands-on experience in EDA, PCA, and other relevant techniques.
• Excellent problem-solving skills and attention to detail, with a demonstrated ability to troubleshoot complex issues efficiently.
• Effective communication and collaboration abilities, with the capacity to work effectively in a fast-paced, multidisciplinary team environment.
• Experience with version control systems (e.g., Git) and agile development methodologies, particularly Scrum.
• Familiarity with Agile principles and practices, including sprint planning, backlog grooming, and sprint reviews.
• Ability to adapt quickly to evolving project requirements and priorities, and thrive in a dynamic, fast-paced environment.

Perks and benefits

Role: Data Scientist

Industry Type: IT Services & Consulting

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education

UG: Any Graduate

PG: Any Postgraduate

Doctorate: Any Doctorate