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