Cybage - Data Scientist

Job description:
About The Position:
We are looking for a dynamic and experienced System Analyst Data Scientist Lead to join our growing AI & Data Science team. In this role, you will lead projects and collaborate with cross-functional teams to build and deploy cutting-edge machine learning solutions that drive business value.
Technical and Professional Requirements:
- Minimum 5+ years of experience in data science, with at least 2 years in a leadership or team management role.
- Proficiency in Natural Language Processing (NLP) techniques such as LDA, embeddings, Retrieval-Augmented Generation (RAG).
- Experience in time series forecasting, statistical modeling, and predictive analytics.
- Hands-on experience with Databricks, Azure ML stack, Python, and Django.

- Solid understanding of end-to-end data science workflows, from data engineering to model deployment.
- Ability to collaborate across diverse teams and communicate technical concepts clearly to stakeholders.
Job Responsibilities:
- Build and deploy end-to-end ML pipelines, including data preprocessing, model training, and production deployment.
- Implement supervised, unsupervised, and deep learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Collaborate with data scientists and engineers to integrate ML models into production systems.
- Use MLOps tools like MLflow or Kubeflow for CI/CD and model lifecycle management.
- Monitor and optimize deployed models for performance and scalability.
- Stay updated on ML advancements and contribute to innovation within the team.
Educational Requirements:
- Minimum 60% in any two of the following: Secondary, Higher Secondary, and Graduation.
- Minimum 55% in the third.
Role: Full Stack Data Scientist
Industry Type: IT Services & Consulting
Department: Data Science & Analytics
Employment Type: Full Time, Permanent