Data Scientist | Sterling Hts, Michigan, United States Data Scientist - Sterling Heights, MI (12-Month Contract) About the Role Indotronix is seeking a highly skilled Data Scientist to join our dynamic team in Sterling Heights, MI. In this pivotal role, you will drive enterprise digitalization initiatives by designing, developing, and maintaining state-of-the-art data infrastructure. Collaborate with cross-functional teams to deliver actionable insights and support business transformation. This is an excellent opportunity to expand your expertise in advanced data environments while making an impact in an innovative organization. Responsibilities - Build, optimize, and maintain scalable data pipelines, databases, and data warehouses across cloud and on-premise platforms - Collect, cleanse, and transform complex data from multiple sources to ensure data integrity and quality - Develop interactive dashboards and robust reporting solutions using Power BI and other data visualization tools - Enhance data performance, scalability, and security through continuous monitoring and server troubleshooting - Support data integration and configuration control, documenting data architecture and processes - Partner with engineering, analytics, and business teams to enable data-driven decision-making - Ensure adherence to technical standards and best practices in data management and governance Required Skills and Experience - Minimum 6 years of hands-on experience with data infrastructure, data pipelines, and data transformation - Proficiency in Power BI, SQL, AWS/AWS Redshift, Oracle, SSAS, Dataiku, Alation - Working knowledge of Excel, MATLAB/Simulink, Mathcad, Midas, MagicDraw - Solid foundation in probability, statistics, applied mathematics, mathematical programming, network analysis - Experience with server troubleshooting, performance optimization, and data cataloging - Familiarity with Jira or ServiceNow - Bachelor's degree in Data Management, Data Science, Mathematics, Statistics, or related field Preferred Skills - Over 10 years of relevant experience - Master's degree in Mathematics, Statistics, Engineering, Business, or Applied Sciences - Experience with Agile/Scrum methodologies - Knowledge of engineering systems or combat vehicle environments - Expertise in technical data architectures, standards, and governance Benefits - Competitive compensation package - Collaborative, innovation-driven work environment - Opportunity for career advancement in enterprise data science - Exposure to leading-edge tools and evolving digital initiatives - Flexible 1st shift schedule How to Apply Ready to transform data into actionable business intelligence? Submit your resume to join a forward-thinking team at the forefront of enterprise data solutions.