FCA · 3 weeks ago
Parts and Service Data Engineer / Data Scientist
Auburn Hills, MI
Full-time
Onsite
Senior Level
5+ years expFCA is seeking a technically skilled and innovative Data Engineer / Data Scientist to drive advanced analytics and data solutions. This role is central to designing, building, and optimizing data pipelines, developing predictive models, and delivering actionable insights that empower HQ stakeholders.
Information TechnologyTelecommunications
Responsibilities
Design, implement, and maintain robust data pipelines (ETL/ELT) to collect, process, and transform large-scale structured and unstructured datasets from diverse automotive sources
Ensure data quality, integrity, and accessibility by developing automated validation and monitoring tools
Optimize data workflows for performance, scalability, and reliability, supporting both batch and real-time analytics needs
Collaborate with IT and analytics teams to integrate data from business systems into centralized data products
Analyze complex datasets to uncover trends, patterns, and actionable insights that inform business strategies and operational improvements
Build, train, and deploy predictive models and machine learning algorithms for applications such as performance forecasting, anomaly detection, and customer segmentation
Conduct A/B testing, causal inference, and statistical analysis to evaluate business initiatives and drive continuous improvement
Apply best practices in data visualization to ensure clarity, accuracy, and accessibility of insights, including interactive dashboards, automated reporting, and mobile-friendly solutions
Serve as a technical liaison between HQ analytics and business teams, translating business needs into scalable data solutions
Educate and mentor team members on data best practices, analytics tools, and emerging technologies
Qualification
Required
Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems, or a related field
5+ years of experience in data engineering, analytics, or data science (automotive industry experience preferred)
Proficiency in programming languages such as Python and SQL
Hands-on experience with ETL/ELT tools, data modeling, and cloud platforms (Snowflake, etc.)
Strong analytical thinking, problem-solving skills, and attention to detail
Excellent communication and presentation abilities, with a proven ability to explain complex technical concepts to diverse audiences
Ability to manage multiple priorities and deliver results in a fast-paced environment
Preferred
Master's degree
Demonstrated experience designing and deploying business dashboards and data visualizations for large-scale automotive or after-sales operations
Advanced proficiency with business intelligence tools (e.g., Power BI, Tableau, Qlik) and experience integrating visualizations with cloud data platforms (e.g., Snowflake)
Familiarity with Mopar systems and performance metrics
Knowledge of machine learning, deep learning, and advanced analytics techniques
Certifications in cloud data engineering or analytics platforms
Benefits
Comprehensive Health & Well-being Coverage
Generous Paid Time Off
Competitive Retirement Savings Plans
Income Protection & Insurance Options
Company Vehicle Lease Program
Family Building Benefit
Support for Your Growth and Giving Back
Tuition reimbursement
Student loan refinancing programs
18 paid volunteer hours each year to make a difference in your community
Company
FCA
FCA is one of the largest technology integrators in the field of fiber optic systems for building optical teletransmission networks.
51-200 employees
H1B Sponsorship
FCA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (328)
2024 (220)
2023 (246)
2022 (346)
2021 (182)
2020 (213)
Funding
Current Stage
Growth StageRecent News
2025-08-07
2025-04-12
2025-04-07
Company data provided by crunchbase