Data Scientist

Key Responsibilities

• Digital Strategy & Innovation: Collaborate with the divisional commercial functions to identify new data driven value propositions, looking beyond the traditional product base (e.g., pumps) to leverage emerging technologies like AI, IoT, and advanced data analytics.
• Business Understanding: Ensure deep understanding of the business domain, customer pain points, and industry trends to deliver solutions that create new business models and customer experiences.
• Collaboration: Work closely with Solution, System, and Platform Architects to ensure that data strategy decisions are consistent, scalable, and aligned across divisions.
• Governance & Standards: Define and enforce data strategy, ensuring adherence to best practices and alignment with the overall enterprise architecture strategy.
• Digital Ecosystems: Identify opportunities to integrate with external partner ecosystems (e.g., Google Home, AWS IoT) to enhance value propositions and expand reach

Your background

• Bachelor’s/Master’s degree in engineering with at least 8 years of experience working with data, algorithms and machine learning.
• Experienced in using Python
• Experience using Azure Machine Learning
• Experienced in deploying analytics and AI in production
• Familiarity with cloud computing platforms and services, especially Microsoft Azure
• Knowledge about Large Language Models (LLM), Prompt Engineering and Retrieval Augmented Generation (RAG)
• Experience with Software testing methods
• Experience with version control systems like Git.
• Proven results supporting key initiatives in a large organization; experience in large manufacturing environment is strongly preferred.
• Possess strong knowledge of best practices in relevant systems.
• Expertise in working with tool vendors.