Indotronix is seeking an :Data Scientist, Sterling Heights, MI
Duration: 12 Months
Bachelor's Degree Must
Clearance: No
Shift: 1st
Job Description
The Data Engineer will support the design, development, and maintenance of enterprise data infrastructure to ensure accurate, secure, and timely access to data across business applications and teams. This role is responsible for building and optimizing data pipelines, managing databases and data warehouses, and supporting data integration efforts across cloud and on-premise environments.
Responsibilities include collecting and transforming data from multiple sources, developing dashboards and reporting solutions, maintaining data quality and integrity, optimizing data performance and scalability, and supporting configuration control and documentation of the organization’s data architecture. The role will collaborate closely with engineering, analytics, and cross-functional teams to support data-driven decision making and enterprise digitalization initiatives.
Required Skills
Strong experience with data infrastructure, databases, data pipelines, and data transformation
Proficiency with Power BI, SQL, AWS/AWS Redshift, Oracle, SSAS, Dataiku, Alation, and related data tools
Experience with MS Excel, MATLAB/Simulink, Mathcad, Midas, and MagicDraw
Knowledge of probability, statistics, applied mathematics, mathematical programming, and network analysis
Experience with server troubleshooting and performance optimization
Familiarity with Jira or ServiceNow
Strong analytical, problem-solving, organizational, and communication skills
Ability to work independently and within cross-functional teams
Preferred Skills
Experience with Agile/Scrum methodologies
Knowledge of engineering systems and combat vehicle environments
Experience supporting development teams and structured problem-solving initiatives
Understanding of technical architectures, standards, and data governance practices
Experience
Education
Bachelor’s Degree in Data Management, Data Science, Mathematics, Statistics, or related field required
Master’s Degree in Mathematics, Statistics, Engineering, Business, Applied Sciences, or related discipline preferred