Senior Data Scientist

2 hours ago

Delhi India, India Aditya Birla Fashion and Retail Ltd. Full time

About the Role

We are looking for a motivated Data Analyst to join our team. The ideal candidate should have strong fundamentals in analytics, hands-on experience in Python, SQL, and Power BI, and a good understanding of cloud platforms. You will work closely with cross-functional teams to build dashboards, automate data pipelines, and support model development.

EX- 2+ years of hands-on analytics experience


Key Responsibilities

  • Develop and maintain Power BI dashboards and automated reports.
  • Write advanced SQL queries for data extraction, transformation, and analysis.
  • Build data pipelines and perform data cleaning/preprocessing using Python.
  • Support machine learning model development, testing, and deployment.
  • Collaborate with business stakeholders to gather requirements and convert them into analytical solutions.
  • Work with engineering teams on cloud deployments (AWS/Azure preferred).
  • Ensure data quality, governance, and documentation of all analytics processes.


Must-Have Skills

  • Strong hold on Python (Pandas, NumPy, basic ML libraries).
  • Excellent understanding of SQL and relational databases.
  • Hands-on experience with Power BI (DAX, data modelling).
  • Ability to understand business KPIs and convert them into dashboards.
  • Strong analytical thinking and problem-solving skills.
  • B.Tech/B.E degree (mandatory).


Good-to-Have Skills

  • Exposure to AWS or Azure cloud services (EC2, S3, Lambda, Azure Data Factory, etc.).
  • Knowledge of data engineering basics (ETL, APIs, automation).
  • Experience with ML lifecycle tools (MLflow, Scikit-learn pipelines).
  • Understanding of version control using Git.


Preferred Candidate Profile

  • 2+ years of hands-on analytics experience
  • OR
  • MBA with at least one internship in data science/analytics
  • Shows strong ownership, curiosity, and eagerness to learn new technologies.
  • Comfortable working in a fast-paced environment and handling multiple tasks.

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