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OBD Certification Data Solutions Engineer; Data Science

Job in Long Beach, Los Angeles County, California, 90899, USA
Listing for: Bertrandt
Full Time position
Listed on 2025-12-28
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 45 USD Hourly USD 45.00 HOUR
Job Description & How to Apply Below
Position: OBD Certification Data Solutions Engineer (Data Science)

Overview

Ready to Drive the Future?

As part of the global Bertrandt Group, our team of innovators tackles cutting-edge projects across ADAS, Autonomous Driving, Electric Mobility, and Manufacturing Support, transforming complex issues into sustainable, connected solutions.

With the strength of a global network of over 14,500 colleagues in 50+ locations, Bertrandt US combines deep expertise in Electronics, Product Engineering, Physical, and Production & After Sales. Join us in engineering tomorrow’s mobility today.

General Benefits:

  • Complete and comprehensive benefits package including Med/Dent/Vision
  • Employer paid STD/LTD/Life
  • 401k Retirement program
  • Generous paid vacation/sick/holidays
  • Creativity encouraged in a fun, friendly work environment

Compensation: $45/per hour

EEO Statement:

Bertrandt US is committed to fostering an inclusive and diverse workplace. We provide equal employment opportunities to all employees and applicants and strictly prohibit discrimination or harassment of any kind. We consider all qualified candidates without regard to race, color, religion, age, sex, national origin, disability, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable federal, state, or local laws.

Responsibilities

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.

  • 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.
Qualifications
  • 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 Power

    BI, 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.
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