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Robert Bosch Venture Capital

Venture capital funding deep tech startups

Senior Data Scientist - AI, Data Engineering & Intelligent Automation

Data Science +1Confirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, Mathematics, Statistics, or a related field is required.
  • Six to eight years of experience in Data Science, Data Engineering, AI, or Analytics domains is required.
  • Python and SQL proficiency is mandatory.
  • Strong scripting and automation skills are required.
  • Experience with REST APIs and system integrations is required.
  • Experience with version control systems such as Git is required.
  • Data science and analytics knowledge, including machine learning, statistical modeling, predictive analytics, data mining, feature engineering, model evaluation, and optimization, is required.
  • Data engineering experience, including ETL/ELT development, data pipeline design, data warehousing concepts, workflow automation, and structured and unstructured data processing, is required.
  • Experience with data visualization and dashboard development, including data storytelling, is required.
  • Cloud and infrastructure experience with Azure, AWS, or GCP, Docker, Kubernetes, and CI/CD concepts is required.
  • Experience with solution deployment and monitoring is required.
  • Experience with AI and generative AI, large language models such as Claude and OpenAI, agentic AI frameworks, Model Context Protocol, prompt engineering, Retrieval-Augmented Generation architectures, and AI application deployment is required.

Responsibilities

  • Build, monitor, and maintain robust, scalable batch and real-time ETL/ELT pipelines using PySpark, SQL, Delta Lake, and Auto Loader.
  • Enforce data access policies, row- and column-level security, and lineage tracking using Databricks Unity Catalog to protect personally identifiable information and maintain compliance.
  • Schedule and orchestrate multi-task jobs using Databricks Workflows (Lakeflow Jobs) or external schedulers such as Apache Airflow and Azure Data Factory.
  • Define and integrate automated data quality rules, validation checks, and testing frameworks such as Great Expectations and Delta Live Tables expectations into pipelines.
  • Design and implement scalable data ingestion, transformation, and processing pipelines; automate data collection, validation, and integration workflows; and ensure data quality, reliability, and governance across the data ecosystem.
  • Interface with enterprise data sources, including databases, APIs, cloud platforms, files, streaming systems, and third-party applications.
  • Analyze structured and unstructured data to derive actionable insights and recommendations.
  • Design experiments, evaluate data performance, and continuously improve solution effectiveness.
  • Apply advanced analytics techniques to support business decision-making.
  • Build dashboards and visualizations to communicate insights effectively, and translate technical findings into business-friendly recommendations.
  • Support leadership teams with data-driven decision-making.
  • Design and develop AI-powered applications using modern large language models.
  • Build agentic AI workflows and intelligent assistants for enterprise use cases.
  • Implement Model Context Protocol-based integrations and orchestration frameworks.
  • Develop Retrieval-Augmented Generation and enterprise knowledge solutions.
  • 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 and collaborate with infrastructure and DevOps teams on production-grade deployments.
  • Work with business stakeholders to understand requirements and define solution roadmaps.
  • Lead technical discussions, provide architectural guidance, and present technical concepts to technical and non-technical audiences.
  • Mentor junior team members and promote engineering best practices.

Desired Qualifications

  • A master's degree is an added advantage.

About the Company

Robert Bosch Venture Capital

Venture capital funding deep tech startups

RBVC (Robert Bosch Venture Capital) is a global venture capital firm that backs early-stage deep tech startups in areas like energy efficiency, medical devices, and virtual/augmented reality. It supports companies with funding and access to Bosch’s network and resources to help them scale and bring innovations to market. Unlike traditional VCs, RBVC may purchase solutions for a proof-of-concept while allowing startups to keep their intellectual property, which speeds up development and lowers upfront costs. The firm earns money through equity investments and the eventual success of its portfolio. RBVC’s goal is to accelerate technological advances across multiple industries by connecting startups with Bosch’s ecosystem, customers (from medical centers to data centers), and global reach.

Company size
201-500
Company stage
Not listed
Total funding
$3.8B
Headquarters
Frankfurt, Germany
Founded
2007

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