Sr Data Scientist

Birlasoft; Pune District; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Birlasoft in Pune, Maharashtra invites applications for Sr Data Scientist to lead AI/ML initiatives, design scalable predictive models, and operationalize ML in production.

The role emphasizes statistical modeling, Python-based data ecosystems, and exposure to Databricks Mosaic AI and Snowflake Cortex as advantageous; collaboration with data engineering teams.

Ideal candidate will deploy end-to-end ML pipelines and advance analytics in a fast-paced environment.

Qualifications

• Experience in AI/ML model development and analytics.
• Ability to design scalable data science solutions.

Responsibilities

• Design, develop, and deploy ML/AI models for real-world business problems.
• Perform advanced statistical analysis and build predictive models to derive insights.
• Develop end-to-end ML pipelines: data ingestion, feature engineering, training, validation, deployment.
• Build and manage MLOps frameworks for CI/CD, monitoring, and governance of models.
• Collaborate with data engineering to ensure robust data pipelines.
• Conduct exploratory data analysis (EDA) and hypothesis testing to support decisions.

Skills

AI & ML

MLOps

Statistical modeling

Python

Data analytics

Tools

Databricks Mosaic AI

Snowflake Cortex

Job description

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Location: INDIA - PUNE - BIRLASOFT OFFICE - HINJAWADI

Title: Sr Data Scientist

Description:

Area(s) of responsibility

Role Overview

We are seeking a highly skilled Data Scientist with strong expertise in Artificial Intelligence (AI), Machine Learning (ML), and MLOps. The ideal candidate will be responsible for building scalable predictive models, driving advanced analytics, and operationalizing ML models in production environments. This role requires a deep understanding of statistical modeling, predictive analytics, and Python-based data ecosystems, with exposure to modern platforms such as Databricks Mosaic AI and Snowflake Cortex being an added advantage.

Key Responsibilities

• Design, develop, and deploy machine learning and AI models for real-world business problems.
• Perform advanced statistical analysis and build predictive models to derive actionable insights.
• Develop and implement end-to-end ML pipelines, including data ingestion, feature engineering, model training, validation, and deployment.
• Build and manage MLOps frameworks for continuous integration, delivery, monitoring, and model governance.
• Work closely with data engineering teams to ensure robust and scalable data pipelines.
• Conduct exploratory data analysis (EDA) and hypothesis testing to support data-driven decision-making.