About the Position

Senior Data Scientist – AI, Data Engineering & Intelligent Automation

We are seeking a Senior Data Scientist with expertise in AI, data engineering, and intelligent automation to join our team at Bosch Global Software Technologies Private Limited.

About the Company

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global suppliers of technology and services. As the largest software development center of Bosch outside Germany, we offer end-to-end Engineering, IT, and Business Solutions. With over 27,000+ associates, we have a global footprint and presence in the US, Europe, and the Asia Pacific region.

Responsibilities

Data Analytics/Pyspark/Azure data bricks
Pipeline Design & Development: Build, monitor, and maintain robust, scalable batch and real-time ETL/ELT pipelines using PySpark, SQL, Delta Lake, and Auto Loader.
Data Governance & Security: Enforce data access policies, row/column-level security, and lineage tracking using Databricks Unity Catalog to protect PII and maintain compliance.
Orchestration & Workflow Automation: Schedule and orchestrate multi-task jobs using Databricks Workflows (Lakeflow Jobs) or external schedulers (e.g., Apache Airflow, Azure Data Factory).
Data Quality Assurance: Define and integrate automated data quality rules, validation checks, and testing frameworks (e.g., Great Expectations, Delta Live Tables expectations) directly into pipelines.
Big Data Handling: Design and implement scalable data ingestion, transformation, and processing pipelines. Automate data collection, validation, and integration workflows. Ensure data quality, reliability, and governance across the data ecosystem.
Data Visualization & Business Insights: Build intuitive dashboards and visualizations to communicate insights effectively. Translate technical findings into business-friendly recommendations.
AI, GenAI & Agentic Solutions: Design and develop AI-powered applications using modern Large Language Models (LLMs). Build Agentic AI workflows and intelligent assistants for enterprise use cases.
Deployment, Cloud & Infrastructure: Deploy AI and analytics solutions across cloud and on-premises environments. Design scalable solution architectures on Azure, AWS, GCP, or hybrid platforms. Containerize applications using Docker.
Stakeholder Management & Technical Leadership: Work closely with business stakeholders to understand requirements and define solution roadmaps. Lead technical discussions and provide architectural guidance.

Requirements

Bachelor's Degree (BE/BTech) in Computer Science, Information Technology, Data Science, Engineering, Mathematics, Statistics, or a related field.
Master's Degree is an added advantage.
8+ years of experience in Data Science, Data Engineering, AI, or Analytics domains. Proven experience delivering end-to-end solutions from data acquisition.

Core Skills

Data Science & Analytics
Machine Learning
Statistical Modeling
Predictive Analytics
Data Mining
Feature Engineering
Model Evaluation and Optimization
Python (Mandatory)
SQL (Mandatory)

Nice to Have

Data Engineering
ETL/ELT Development
Data Pipeline Design
Data Warehousing Concepts
Workflow Automation
Structured and Unstructured Data Processing
Data Visualization
Power BI
Tableau
Looker
Dashboard Development
Data Storytelling
Cloud & Infrastructure
Azure
AWS
GCP
Docker
Kubernetes
CI/CD Concepts
Solution Deployment and Monitoring
AI & Generative AI
Large Language Models (LLMs)
Agentic AI Frameworks
Model Context Protocol (MCP)
Prompt Engineering
RAG Architectures
AI Application Deployment

We Offer

Competitive salary
Opportunity to work in a global technology powerhouse
Professional growth and development opportunities

Contact

If you are interested, please refer to the job posting for more details and to apply.

Senior Data Scientist – AI, Data Engineering & Intelligent Automation

Job description