Lead Data Scientist

You are an exceptional and highly motivated Lead Data Scientist with experience in Data Science, Computer Science, Applied Mathematics, Statistics, or a closely related quantitative field. You will spearhead the design, development, and deployment of an automotive OEMs next-generation Intelligent Forecast Application. This pivotal role will leverage cutting-edge machine learning, deep learning, and statistical modeling techniques to build a robust, scalable, and accurate forecasting system crucial for strategic decision-making across the automotive value chain, including demand planning, production scheduling, inventory optimization, predictive maintenance, and new product introduction. As a recognized expert in advanced forecasting methodologies, you will possess a strong foundation in data engineering and MLOps principles. You will demonstrate a proven ability to translate complex research into tangible, production-ready applications within a dynamic industrial environment. This role demands not only deep technical expertise but also a visionary approach to leveraging data and AI to drive significant business impact for a leading automotive OEM. **Role & Responsibilities:** **Strategic Leadership & Application Design:** Lead the end-to-end design and architecture of the Intelligent Forecast Application, defining its capabilities, modularity, and integration points with existing enterprise systems. Develop a strategic roadmap for forecasting capabilities, identifying opportunities for innovation and the adoption of emerging AI/ML techniques. Translate complex business requirements and automotive industry challenges into well-defined data science problems and technical specifications. **Advanced Model Development & Research:** Design, develop, and validate highly accurate and robust forecasting models using a variety of advanced techniques including Time Series Analysis, Machine Learning, Deep Learning, Probabilistic Forecasting, and Hierarchical & Grouped Forecasting. Incorporate diverse data sources and conduct extensive exploratory data analysis to identify patterns and key features influencing automotive forecasts. Stay abreast of the latest academic research and industry advancements in forecasting, machine learning, and AI. **Application Development & Deployment (MLOps):** Architect and implement scalable data pipelines for ingestion, cleaning, transformation, and feature engineering of large, complex automotive datasets. Develop robust code for model training, inference, and deployment within a production environment. Implement MLOps best practices for model versioning, monitoring, retraining, and performance management. Collaborate closely with cross-functional teams to ensure seamless integration, deployment, and maintenance of the application. **Performance Evaluation & Optimization:** Define and implement rigorous evaluation metrics for forecasting accuracy and business impact. Perform A/B testing and comparative analyses to continuously improve forecasting performance. Identify and mitigate sources of bias and uncertainty in forecasting models. **Collaboration & Mentorship:** Work cross-functionally with various business units to understand their forecasting needs and integrate solutions. Communicate complex technical concepts and model insights clearly to technical and non-technical stakeholders. Provide technical leadership and mentorship to junior data scientists and engineers. **Requirements:** **Qualifications & Skills:** Education in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, or a closely related field. 5+ years of hands-on experience in a Data Scientist or Machine Learning Engineer role. Technical proficiency in Python, R, Machine Learning/Deep Learning Frameworks, Forecasting Specific Libraries, Data Warehousing & Big Data Technologies, Cloud Platforms, MLOps, Data Visualization, and strong analytical skills. **Preferred Qualifications:** Publications in top-tier conferences or journals, experience with real-time forecasting systems, familiarity with automotive data types, experience with distributed version control systems, and knowledge of agile development methodologies. **Soft Skills:** Exceptional communication, collaboration, intellectual curiosity, strategic thinking, mentorship, resilience, and adaptability. This role offers an unparalleled opportunity to make a significant impact on the strategic direction and operational efficiency of a global automotive leader, contributing directly to the future of intelligent manufacturing and supply chain management. If you are looking to play a pivotal role in shaping a rapidly growing venture studio, thrive in a collaborative, innovative environment, access professional development opportunities, and enjoy competitive benefits, then you may be a great fit for this position.,