Contract Python Data Analysis Jobs in Columbia, SC

Job Summary:
Scout Motors Inc. is a company dedicated to reviving an iconic American vehicle brand with a focus on innovation and quality. The Field Monitoring Quality Specialist will analyze vehicle and field data to identify issues impacting customer experience and vehicle performance, collaborating closely with engineering teams to enhance product quality and customer trust.
Responsibilities:
• Serve as a VoC quality expert, ensuring timely and accurate feedback loops into engineering
• Design and implement customer surveys and feedback frameworks to assess product satisfaction
• Analyze large volumes of unstructured data (social media, web forums, call center logs, customer verbatims) to identify key customer pain points and trends
• Support end-to-end root cause analysis (RCA) of customer issues across full vehicle systems, including powertrain, high-voltage battery, and connected features
• Identify patterns in fleet data to enable early detection of emerging quality issues
• Drive faster resolution through data-driven insights and cross-functional collaboration
• Define and implement strategies for collecting, organizing, and analyzing large-scale connected vehicle data
• Partner with engineering teams to establish vehicle data policies, signal strategies, and telemetry requirements
• Perform advanced data analysis to correlate vehicle behavior, software versions, and customer-reported issues
• Develop and deploy AI/ML models for: Anomaly detection, Failure prediction, Sentiment analysis
• Leverage analytics to improve customer satisfaction, reliability, and warranty performance
• Act as the bridge between software-defined vehicle data policies and real-world engineering insights
• Ensure data pipelines are robust, accurate, and actionable
• Enable a VIN-level (Vehicle 360) view for comprehensive lifecycle traceability
• Work closely with: Vehicle engineering (hardware & software), Connected vehicle and app development teams, Service, warranty, and customer support organizations
• Enhance data collection capabilities, user interfaces, and reporting standards across systems
Qualifications:
Required:
• A bachelor’s degree in engineering, computer science and/or data science.
• 5+ years in an environment related to technical data processing, preferably within a vehicle manufacturer or supplier environment.
• Experience in automotive engineering, quality, or field issue analysis, ideally in EV or connected vehicle environments.
• Hands-on experience with data analytics tools and large datasets (e.g., Databricks, SQL, Python, cloud platforms).
• Experience in running Java Script, Python, SQL, HTML/CSS.
• Experience in deploying AI-based solutions and tools for data processing.
• Ability to build full-scale AI-powered products from scratch using available open AI.
• Familiarity with AI/ML concepts and applications in anomaly detection or predictive analytics.
• Understand data warehouse systems like Basic AWS or Azure data services or Databricks.
• Strong understanding of vehicle systems (powertrain, battery, diagnostics, telematics).
• Ability to work across functions and translate data insights into engineering actions.
• Experience working with customer feedback systems and VoC analytics.
• Experience with PBI and PowerApps, building app own-made solutions for data analytics.
• Strong interpersonal skills, with experience working in multicultural and team-oriented environments.
Company:
Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work. Founded in 2022, the company is headquartered in Washington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.