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Tier-1 brand, metro location, mid-level generalist ML role with broad skill requirements increases competition.
Mandated automotive/transportation experience and senior technical lead expectations limit cross-industry transferability.
Multiple explicit 2+ year requirements and domain-specific automotive senior-lead expectations increase screening strictness.
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Develop and deploy end-to-end data science products using structured and unstructured data to deliver actionable insights and support product/service improvements.
Lead AI/ML modeling and deployment including deep learning, forecasting, and metaheuristic algorithms for optimal data insights and trend predictions.
Design and implement data engineering processes (ETL), advanced visualizations (Power BI/QlikSense), and build scalable backend and frontend services using Python, FastAPI, React, and TypeScript.
Bachelor’s Degree in Data Science, Predictive Analytics, Statistics, Applied Mathematics, IT or related field.
At least 2 years of experience in statistical methods and their application, including regression, clustering and multivariate analysis.
Minimum 2 years professional experience in Automotive, Transportation, Digital Business, or Analytics Consulting environments.
Experience as a senior technical lead in analytics/technical discussions and working in cross-functional, agile product teams.
Experience with advanced AI/ML techniques including neural networks, SVM, ensemble methods, and natural language/image processing.
Proficiency in open-source data science tools (Python, R, Spark, SQL, Hadoop) and commercial visualization tools (Alteryx, QlikView, Tableau).
Practical skills in cloud-native AI-driven application development using Google Cloud Platform services, CI/CD pipelines, containerization (GKE), and serverless computing.