Mercedes-Benz USA
Join to apply for the
Principal, IT Data Science
role at
Mercedes-Benz USA Join to apply for the
Principal, IT Data Science
role at
Mercedes-Benz USA Get AI-powered advice on this job and more exclusive features. 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. 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.
Benefits
Mitarbeiterhandy möglich
Mitarbeiter Events
Gesundheitsmaßnahmen
Betriebliche Altersversorgung
Mobilitätsangebote
Flexible Arbeitszeit möglich
Mitarbeiterrabatte möglich
Coaching
Mitarbeiterbeteiligung möglich
KontaktMercedes-Benz USA, LLC
One Mercedes-Benz Drive30328 AtlantaDetails zum Standort
Melissa Pair E-Mail: extern.pair@mbusa.com
Bewerben Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology Industries Motor Vehicle Manufacturing Referrals increase your chances of interviewing at Mercedes-Benz USA by 2x Sign in to set job alerts for “Information Technology Specialist” roles.
Atlanta, GA $70,000.00-$90,000.00 1 week ago Atlanta, GA $9,000.00-$130,000.00 1 month ago Atlanta, GA $70,000.00-$85,000.00 2 weeks ago Atlanta, GA $54,357.33-$73,770.66 2 weeks ago Information Technology Manager - Goizueta Business School
Atlanta, GA $70,000.00-$90,000.00 2 weeks ago Information Technology Manager, Software
Atlanta, GA $107,200.00-$160,800.00 3 weeks ago Atlanta, GA $58,000.00-$60,000.00 4 weeks ago Atlanta Metropolitan Area $30.00-$36.50 2 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Principal, IT Data Science
role at
Mercedes-Benz USA Join to apply for the
Principal, IT Data Science
role at
Mercedes-Benz USA Get AI-powered advice on this job and more exclusive features. 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. 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.
Benefits
Mitarbeiterhandy möglich
Mitarbeiter Events
Gesundheitsmaßnahmen
Betriebliche Altersversorgung
Mobilitätsangebote
Flexible Arbeitszeit möglich
Mitarbeiterrabatte möglich
Coaching
Mitarbeiterbeteiligung möglich
KontaktMercedes-Benz USA, LLC
One Mercedes-Benz Drive30328 AtlantaDetails zum Standort
Melissa Pair E-Mail: extern.pair@mbusa.com
Bewerben Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology Industries Motor Vehicle Manufacturing Referrals increase your chances of interviewing at Mercedes-Benz USA by 2x Sign in to set job alerts for “Information Technology Specialist” roles.
Atlanta, GA $70,000.00-$90,000.00 1 week ago Atlanta, GA $9,000.00-$130,000.00 1 month ago Atlanta, GA $70,000.00-$85,000.00 2 weeks ago Atlanta, GA $54,357.33-$73,770.66 2 weeks ago Information Technology Manager - Goizueta Business School
Atlanta, GA $70,000.00-$90,000.00 2 weeks ago Information Technology Manager, Software
Atlanta, GA $107,200.00-$160,800.00 3 weeks ago Atlanta, GA $58,000.00-$60,000.00 4 weeks ago Atlanta Metropolitan Area $30.00-$36.50 2 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr