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Rivian Volkswagen's Vehicle Access team is seeking a talented individual to join our growing data science function. This is a unique opportunity to shape our data strategy from the ground up, transforming raw vehicle data into actionable insights and intelligent systems that enhance the customer experience.

Requirements

• Expert-level proficiency in Python and its scientific computing ecosystem (e.g., Scikit-Learn, TensorFlow, PyTorch, Pandas) for data analysis and ML model development.
• Hands-on experience building and deploying dashboards using one or more tools like Tableau, Hex, and/or Looker.
• Proficiency in data extraction, manipulation, and analysis.
• Proven experience in data analytics, including exploratory data analysis, data visualization, and reporting.
• Strong foundational knowledge of statistics and probability with an understanding of descriptive and inferential statistics, sampling methods, hypothesis testing, regression analysis.
• Experience with cloud data platforms (AWS, Azure, GCP).
• A fundamental, first-principles understanding of the lower OSI layers, including wireless signal propagation, antenna theory, RF concepts, and signal processing.

Responsibilities

• Contribute to the critical effort of documenting hundreds of raw vehicle access signals, understanding their meaning and utility.
• Streamline the process of creating aggregated data tables from raw data, building robust and efficient data pipelines for analytics and ML readiness.
• Immediately contribute to the development and deployment of analytics dashboards (using tools like Tableau, Hex, Looker) to monitor the health of existing and new vehicle access features.
• Collaborate with product teams to define key performance indicators (KPIs) and metrics that accurately reflect the health and performance of the vehicle access system.
• Have great attention to detail in verifying the instrumentation of raw signals and validating the accuracy and reliability of insights generated from your analysis.
• Contribute to the design, development, and deployment of machine learning models to predict potential issues and offer personalized recommendations for an enhanced customer experience.
• Take ownership of projects from inception to completion, ensuring high-quality deliverables and timely execution.

Other

• Work cross-functionally with software engineers, product managers, and other stakeholders to understand business needs, technical constraints, and data requirements.
• Navigate ambiguous situations with a proactive and focused approach, identifying solutions and driving projects forward.
• Be humble, willing to learn new technologies, methodologies, and domain-specific knowledge in the rapidly evolving EV space.
• Experience working in a distributed team environment, with a proven ability to collaborate effectively with partners and colleagues across different time zones.
• Exceptional communication skills, with proven experience managing resources, reporting to C-suite executives, and leading technical discussions across diverse engineering groups.