Job description

Aufgaben About Us Mercedes-Benz is USA is responsible for the sales, marketing and service of all Mercedes-Benz and Maybach products in the United States. In our people, you will find tremendous commitment to our corporate values. Our products and employees reflect this dedication. We are looking for diverse top-notch individuals to join the Mercedes-Benz Team and uphold these hallmarks. Job Overview: As a Principal Data Scientist on the Data Insights & AI team, you will lead the design, development, and deployment of advanced analytics and AI solutions that drive strategic business outcomes. You will work with large-scale, complex datasets and apply cutting-edge machine learning and statistical techniques to uncover insights, optimize operations, and enable data-driven decision-making across the organization. This role requires a hands-on leader who can bridge the gap between data science and business strategy, mentor team members, and collaborate across functions in an agile environment. You will also play a key role in promoting best practices in MLOps, LLMOps, model governance, and responsible AI. Key Responsibilities: Data Science & AI Leadership (70%) • Lead the end-to-end lifecycle of data science projects—from problem definition to model deployment and monitoring. • Develop and operationalize machine learning models using Azure Databricks, MLFlow, Azure DevOps and Python. • Design scalable data pipelines and workflows in collaboration with data engineering teams. • Apply advanced statistical modeling, machine learning, and AI techniques to solve complex business problems. • Create compelling data visualizations and dashboards using Power BI or Tableau. • Promote reproducibility, version control, and automation using Azure DevOps, Git, and CI/CD pipelines. • Drive best practices for putting ML/AI models into production, including monitoring, retraining, and performance evaluation. • Share insights on common pitfalls and success factors in productionizing machine learning solutions. Collaboration & Communication (30%) • Act as the primary point of contact for data science initiatives across business units. • Translate complex analytical concepts into clear, actionable insights for stakeholders. • Collaborate with cross-functional teams including product managers, engineers, and business analysts. • Foster a culture of experimentation, continuous learning, and knowledge sharing within the data science community. Qualifikationen Qualifications: • Master’s degree with a strong academic background in statistics (e.g. mathematics, statistics, computer science, data mining, machine learning, operations research, physics, or a related quantitative discipline) • Doctoral Degree or PhD advantageous • 3+ (with master’s degree) years of experience in advanced analytics data analysis. Experience on the whole life cycle of model building for solving real-world complex problems. Preferably some experience within the automotive or mobility industry. • A deep understanding of statistical and predictive modelling concepts, including machine-learning or data mining approaches. • Strong statistical modelling experience and data aggregation skills • An expert in analysing large, complex, multi-dimensional data sets. • Data visualization knowledge • Familiarity with cloud ecosystem (Azure Cloud, Hive, Spark, Kafka) • Exceptional communication skills towards colleagues and management • Excellent written and communications skills to report back the findings in a clear, structured manner are required. • Experience in working in an agile team with internal and external resources. • Proficient in at least one IDEs such as VS Code or PyCharm (VS Code preferred) • Proficient knowledge in SQL, Python and R (knowledge in Pyspark, SparkR or Scala is a plus), proficient in data visualization (i.e. proficient in Tableau or PowerBI) • Familiarity with modern software development practices (Git, JIRA, CI/CD methods, MLOps) Technical Skills & Tools • Programming: Strong programming skills in Python and SQL; familiarity with ML libraries such as scikit-learn, TensorFlow, PyTorch, etc. • Data & Cloud Platforms: Azure Cloud, Azure Databricks, Spark, Kafka, Docker and Kubernetes • MLOps & DevOps: MLFlow, Azure DevOps, CI/CD pipelines, Git • Visualization: Power BI, Databricks • Languages: SQL, PySpark, R (optional) Soft Skills • Strong analytical and problem-solving mindset • Excellent communication and storytelling skills • Ability to lead and mentor cross-functional teams • Strategic thinking with a focus on business impact • Comfortable working in a fast-paced, agile environment • Fluent in English EEO Statement Mercedes-Benz USA is committed to fostering an inclusive environment that appreciates and leverages the diversity of our team. We provide equal employment opportunity (EEO) to all qualified applicants and employees without regard to race, color, ethnicity, gender, age, national origin, religion, marital status, veteran status, physical or other disability, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local law.

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