Data Science Engineer

Payrate: $65.00 - $66.00/hr. Summary: The main function of an OBD Certification Data Science Engineer is to support the development and maintenance of certification-related tools and processes. They assist in new programmatic solutions, data handling, and data analysis to improve company workflows. Job Responsibilities: • Conduct testing and data analysis in the areas of Emissions & OBD, investigate and identify issues, determine root causes, and discuss within a team environment. • Learn the emissions and OBD certification activities and identify additional areas within the team where the candidate can effectively contribute value. • Establish opportunities within the OBD Certification for automation. • Perform analysis of conducted testing in respective areas and create reports for internal and external stakeholders (including CARB) • Create data pipeline relevant for agency reporting and analysis. • Develop custom tools and drive automation efforts to improve testing, analysis, and reporting efficiency • Present results and findings to upper management and other important stakeholders • Contribute to the team’s new initiative of software change management • Support collaboration with global headquarters, R&D departments, and cross-functional teams. • Contribute to initiatives involving data science, machine learning, and business intelligence for OBD and emissions performance feedback. • Build, maintain, and manage Power BI dashboards to visualize emissions, OBD, and certification data for internal stakeholders and management. Requirements: • Education: Bachelor of Science in Computer Science, Data Science, or related field (or equivalent 3-5 years of related experience). • Detail-oriented mindset and strong project coordination skills required. • Comprehensive knowledge and experience of CARB OBD2 regulations • Proficiency in Python and related libraries for automation, data processing, and workflow optimization. • Experience with data acquisition and analysis tools (INCA, MATLAB). • Experience with PowerBI, Tableau, or other data visualization tools. • Experience with business intelligence and data analytics tools. • Knowledge of data science methods, including machine learning, data visualization, prediction, and modeling. • Ability to author and present clear and concise technical reports for a wide, global audience detailing findings, recommendations and solutions. • Design custom tools to optimize data mining, cleaning, and validation. • Ability to collaborate and work well with a team is extremely important. Pay Transparency: The typical base pay for this role across the U.S. is: $65.00 - $66.00/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select.  Full-time employees are eligible to select from different benefits packages.  Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance. For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy (https://www.aditiconsulting.com/privacypolicy). Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process.  AI technology is used to gather data only and does not replace human based decision making in employment decisions.  By applying to this position, you agree to Aditi’s use of AI technology, including calls from an AI Voice Recruiter. #AditiConsulting #25-22277