Lead Engineer - Device Level Analytics

• Collaborate with plant teams, SMEs, IT departments, and the analytics community to capture, prioritize, and document data analytics requirements, driving measurable results
• Extract data using existing IoT solutions and big data sources, conduct thorough analysis, perform testing, and validate outcomes
• Analyze datasets to identify trends and patterns, interpret and communicate insights to various teams and leaders to enhance and streamline processes
• Apply manufacturing domain knowledge and IoT knowledge to develop proof of concepts to address complex manufacturing challenges
• Propose solutions and strategies to business challenges that drive significant impact
• Monitor the health of data collection pipelines, report issues, and follow up with responsible teams
• Write user stories and frameworks for the IT development team to productize the self developed solutions
• Present complex information through data visualization techniques
• Provide training and guidance to business partners on data analysis methodologies, reporting, and tools

• Masters / Degree in Automotive technology, Mathematics, Statistics, Computer Science, or information technology
• 10+ years of experience in any Automotive company or Data Analytics environment
• Proficient in Python (preferred) or any object-oriented programming languages
• Expert in data analysis, including identifying patterns, extracting valuable insights, and providing data-driven recommendations to support decision-making
• Proficient in applying statistical techniques, utilizing analytical tools, and AI/ML/GenAI for given business problem
• Experienced in working with data pipelines, PowerBI, SQL queries, Git, Databricks, Azure cloud services, and DevOps/MLOps/LLMOps
• Familiarity with IoT data collection methods and solutions
• Ability to learn quickly and adapt to new challenges
• Exceptional collaboration skills and the ability to build strong relationships
• Process-oriented mindset with a focus on efficiency and effectiveness
• Outstanding project management skills within an agile environment
• Demonstrates creativity in problem-solving, thinking dynamically and beyond industry norms, and adapting swiftly to new technical areas
• Proficiency in collaborating with intercultural, multi-disciplinary, and remote teams to achieve functional objectives
• Strong organizational, planning, and prioritization skills, with a meticulous approach to project execution
• Readiness to travel across regions as necessary for project implementation

Familiarity with automotive production processes, industrial automation, throughput analysis, and industrial engineering is considered an added advantage