Principal, IT Data Science

Mercedes-Benz Group

Atlanta, GA

Full Time

Senior

18 days ago

Job Description

About the Role

Mercedes-Benz is responsible for the sales, marketing and service of all Mercedes-Benz and Maybach products in the United States. The company values diversity and is committed to upholding its corporate values through its people, products, and workplace environment. The role of Principal Data Scientist on the Data Insights & AI team involves leading the design, development, and deployment of advanced analytics and AI solutions that drive strategic business outcomes, working with large-scale datasets, and applying machine learning and statistical techniques to uncover insights and optimize operations. The position requires a hands-on leader who can bridge data science and business strategy, mentor team members, and promote best practices in MLOps, LLMOps, model governance, and responsible AI.

Key Responsibilities

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.
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.

Requirements

Master's degree with a strong academic background in statistics, mathematics, computer science, data mining, machine learning, operations research, physics, or a related quantitative discipline.
3+ years of experience in advanced analytics data analysis, with experience across the entire model development lifecycle.
Deep understanding of statistical and predictive modeling concepts, including machine-learning or data mining approaches.
Strong statistical modeling experience and data aggregation skills.
Expertise in analyzing large, complex, multi-dimensional datasets.
Knowledge of data visualization tools.
Familiarity with cloud ecosystem including Azure Cloud, Hive, Spark, Kafka.
Exceptional communication skills for colleagues and management.
Proficient in SQL, Python, and R; knowledge of Pyspark, SparkR, or Scala is a plus.
Experience working in an agile team with internal and external resources.
Proficient in IDEs such as VS Code or PyCharm.

Nice to Have

Doctoral Degree or PhD.
Experience within the automotive or mobility industry.
Familiarity with modern software development practices such as Git, JIRA, CI/CD methods, MLOps.
Knowledge of ML libraries such as scikit-learn, TensorFlow, PyTorch.
Experience with Docker and Kubernetes.
Languages: PySpark, R (optional).

Qualifications

Master's degree in a relevant quantitative discipline.
3+ years of experience in data analysis and model development.

Benefits & Perks

Mobile Phone for Employees Possible
Events for Employees
Health

Working at Mercedes-Benz Group

Mercedes-Benz USA fosters an inclusive environment that appreciates and leverages diversity. The company emphasizes commitment to its corporate values, continuous learning, experimentation, and collaboration across teams in a fast-paced, agile environment.

Apply Now