Job
Description
As a Data Scientist at Magna, you will have the opportunity to collaborate closely with business stakeholders to design, build, and implement advanced forecasting and analytics solutions across various functions such as procurement, sales, finance, treasury, and quality. Your role will involve utilizing a combination of classical machine learning and emerging GenAI/LLM techniques to provide valuable insights for senior leadership. You will be responsible for managing the entire model development process, from converting strategic business questions into scalable solutions to supporting decision-making processes and early-warning capabilities. Key Responsibilities: - Collaborate with business teams to transform domain problems into analytical and forecasting use cases related to spend, sales, cash flow, and quality trends. - Lead the development of models from inception to deployment, including tasks such as data preparation, feature engineering, model design, testing, and monitoring using Databricks. - Develop time-series, regression, anomaly detection, and early-warning models to facilitate leadership reporting and drive impactful business decisions. - Implement GenAI/LLM approaches such as narrative generation, scenario simulation, and hybrid modeling where applicable. - Work closely with Data Engineering to define data requirements and ensure the reliability of pipelines. - Communicate analytical findings and recommendations in a clear business-oriented manner to executive stakeholders. - Apply MLOps practices such as MLflow, Model Registry, and workflows to enhance reproducibility and operational robustness. - Contribute to the advancement of the organization's AI/ML landscape by sharing patterns, best practices, and enhancements for the model lifecycle. Qualifications Required: - Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, Economics, or a related field. - 4-6 years of experience in data science with a proven track record of delivering end-to-end forecasting or business-focused ML solutions. - Proficiency in Python and SQL, along with experience using Databricks for analytics, ML, and data pipelines. - Strong foundation in time-series and classical ML methods, including deploying models in production environments. - Excellent communication skills and the ability to engage with stakeholders, including non-technical business leaders. - Experience in applying MLOps practices for reproducibility, CI/CD, monitoring, and lifecycle management. Preferred Skills: - Experience in working with sales, finance, procurement, treasury, or quality analytics in a manufacturing or enterprise setting. - Familiarity with GenAI/LLM techniques and their practical application in business workflows. - Exposure to product-centric projects involving cross-functional teams. - Knowledge of visualization tools like Power BI or Tableau. - Understanding of manufacturing, automotive, or large enterprise business processes. At Magna, we offer a stimulating and dynamic work environment where you can contribute to the development of cutting-edge automotive technologies. Our commitment to employee growth and success ensures a rewarding career path tailored to your unique abilities. Join our global team and embark on an exciting journey filled with diverse responsibilities and ample opportunities for professional development.,
