Sub-System Lead Engineer OR Senior Sub-System Lead Engineer (Chassis Data & Analytics)
- This role is open to hire at 1 of 2 levels. (L6 or L7)
- Lead the requirements documentation and coordination by developing Behavior Technical Specifications (BTS’s) for chassis diagnostics and analytics projects and translating these to project initiatives, capabilities, and features.
- Create and maintain requirements for serial data and service-level diagnostics (ex. RIDs/DIDs) using “On-board Diagnostic Principles” and communication services.
- Organize and approve requirements written by other group members.
- Maintain privacy impact assessments for the data that the group collects and uses.
- Manage the data element tracking and sourcing strategy for the chassis space, including establishing required data elements, documenting source databases and tables, and proposing proper collection cadences.
- Develop and manage supplier data-sharing contracts.
- Develop and manage requirements for the data collection initiatives, capabilities, and features throughout the group by working with our IT teams to
- Demonstrate exceptional communication skills while reporting out to leadership (on a regular cadence) the progress of diagnostics and analytics development.
- Lead failure mode effects analysis and test regime discussions with our diagnostics and analytics developers.
- Bachelor of Science degree in Computer Science, Engineering, Applied Mathematics, Statistics, Data Governance, or Data Analytics.
- 3+ years of experience utilizing data analysis methods and success solving complex problems.
- 2+ years of experience of working with vehicle telematics data, on-board diagnostics, or serial data.
- Sufficiency using relevant programming languages: Python, SQL, Scala, & R.
- Proficiency using the Databricks platform.
- Familiarity with data and analytics architecture and principles.
- Familiarity with continuous integration and continuous deployment methodologies and their application in data engineering and analytics workflows.
- Familiarity with data governance principles.
- Capable of converting ambiguous problem statements into concrete project requirements.
- Passion for data driven results and customer initiatives.
- Bachelor of Science degree in Computer Science, Engineering, Applied Mathematics, Statistics, Data Governance, or Data Analytics.
- 5+ years of experience utilizing data analysis methods and success solving complex problems.
- 2+ years of experience of working with vehicle telematics data, on-board diagnostics, or serial data.
- Sufficiency using relevant programming languages: Python, SQL, Scala, & R.
- Proficiency using the Databricks platform.
- Familiarity with data and analytics architecture and principles.
- Familiarity with continuous integration and continuous deployment methodologies and their application in data engineering and analytics workflows.
- Familiarity with data governance principles.
- Capable of converting ambiguous problem statements into concrete project requirements.
- Passion for data driven results and customer initiatives.
- Master’s of Science degree in Computer Science, Engineering, Applied Mathematics, Statistics, Data Governance, or Data Analytics.
- Chassis sub-system understanding (i.e. braking, vehicle dynamics, steering, and/or suspension systems).
- Proficiency using relevant programming languages: Python, SQL, Scala, & R.
- Proficiency using relevant programming tools: Databricks, Spark, Hive, and Power BI.
- Proficiency/Certifications using relevant tools: Databricks (Certification), MLFlow, MATLAB, Tableau & Github.
- Master’s of Science degree in Computer Science, Engineering, Applied Mathematics, Statistics, Data Governance, or Data Analytics.
- 8+ years of experience utilizing data analysis methods and success solving complex problems.
- Chassis sub-system understanding (i.e. braking, vehicle dynamics, steering, and/or suspension systems).
- Proficiency using relevant programming languages: Python, SQL, Scala, & R.
- Proficiency using relevant programming tools: Databricks, Spark, Hive, and Power BI.
- Proficiency/Certifications using relevant tools: Databricks (Certification), MLFlow, MATLAB, Tableau & Github.
- Experience with data sharing agreements and privacy impact assessments.
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