Full Stack Data Scientist – Data Analytics Team

Shift Timing: 2.30 pm to 11:30 pm (IST)

Location: Ahmedabad

About the Role

hands-on Full Stack Data Scientist

Key Responsibilities

• Own the full ML pipeline

  : data ingestion, cleaning, feature engineering, model development, deployment, and monitoring.
• Build and fine-tune models using 

  Python

   and frameworks like Scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Deploy models using 

  Databricks

  , 

  MLflow

  , and cloud-native tools (preferably Azure).
• Develop robust, scalable pipelines using 

  PySpark

   or native Databricks workflows.
• Collaborate with BI analysts and business stakeholders to translate requirements into production-ready solutions.
• Maintain and improve existing models and pipelines with minimal supervision.

Required Skills

• 3+ years

   of experience in applied data science or ML engineering.
• Strong Python programming skills, including experience with data manipulation and ML libraries.
• Experience with 

  Databricks

   and 

  cloud-based ML deployment

   (Azure preferred).
• Ability to work independently across the full stack of ML development and deployment.
• Familiarity with version control (Git), CI/CD, and MLOps best practices.
• Excellent communication skills and ability to work with remote teams across time zones.

Nice to Have

• Experience with 

  data pipeline development

   using PySpark or Delta Lake.
• Exposure to 

  Docker

  , 

  REST APIs

  , or 

  real-time inference

  .
• Prior experience working in a manufacturing or industrial analytics environment.

Interview Process

Shortlisted candidates will be required to complete:

• An 

  online technical skills assessment

   focused on Python and applied machine learning.
• An 

  in-person practical test

   at our Ahmedabad Tech Center to evaluate real-world problem-solving and deployment capabilities.