Data Scientist - Generative AI (7-11 yrs)

We are seeking a highly skilled Data Scientist with a strong background in software engineering and a deep understanding of Generative AI. The ideal candidate will possess a blend of analytical and technical skills, enabling them to develop innovative data-driven solutions while also contributing to software development processes.

Responsibilities :

- Data Analysis and Modeling : Utilize statistical methods and machine learning techniques to analyze complex datasets, derive insights, and build predictive models.

- Software Development : Collaborate with engineering teams to design, develop, and implement software solutions that leverage data science methodologies. Ensure best practices in coding, testing, and deployment.

- Generative AI Applications : Apply Generative AI techniques to enhance software development processes, including automated code generation, testing, and documentation.

- Cross-functional collaboration : Work closely with product managers, UX designers, and other stakeholders to understand requirements and translate them into technical specifications.

- Research and Innovation : Stay updated with the latest advancements in data science and Generative AI. Propose and implement innovative solutions to improve existing processes and products.

- Mentorship : Provide guidance and mentorship to junior data scientists and engineers, fostering a culture of continuous learning and improvement.

Requirements :

Education : BTech or Masters in Computer Science, Data Science, Statistics, or a related field.

Experience : Minimum of 7 years in data science, with a strong emphasis on software engineering principles and practices.

Technical Skills :

- Proficiency in programming languages such as Python or Java.

- Experience with machine learning frameworks (e. g., TensorFlow, PyTorch) and data manipulation libraries (e. g., Pandas, NumPy).

- Familiarity with Generative AI concepts and tools, including their application in software development.

- Software Engineering : Strong understanding of software development life cycle (SDLC), version control systems (e. g., Git), and agile methodologies.

- Problem-Solving : Excellent analytical and problem-solving skills, with the ability to think critically and creatively.

- Communication : Strong verbal and written communication skills, with the ability to present complex technical concepts to non-technical stakeholders.

Preferred Qualifications :

- Experience with cloud computing platforms (e. g., AWS, Azure, Google Cloud) for deploying machine learning models.

- Knowledge of data visualization tools.