Data Scientist

Mercedes Benz - Data Scientist

Position Details:

- Location
: Mercedes-Benz US International, Vance AL
- Schedule
: Day Shift
- Core working Hours
: 7:00am – 4:30pm (Mo-Fr)

Job overview:

Under general supervision, this position is responsible for developing analytical tools, data pipelines, and reporting assets that support Mercedes Benz US Market Data and Quality KPI performance. The role will design, build, and maintain visualizations, performing both descriptive and predictive analytics across multiple databases and data sources.

This position plays a key role in transforming raw market and quality data into actionable insights. Responsibilities include gathering and analyzing data requirements, performing diagnostic and prescriptive analyses, and delivering clear, data driven indicators to internal stakeholders in collaboration with the Q Hub and Steering USA teams to ensure data accuracy and support strategic decision making through high quality analytical outputs

Job Responsibilities:

• Develop analytical tools, dashboards, and visualizations that enhance transparency into Mercedes Benz product performance in the U.S. market.
• Partner with IT to establish sustainable support structures and long term maintainability for developed tools and reporting solutions.
• Gather, integrate, and consolidate raw data from diverse internal sources, including sales, marketing, production, warranty, and customer service systems.
• Clean, preprocess, and validate datasets to ensure accuracy, consistency, and completeness across all reporting layers.
• Transform and model data using statistical methods, SQL, and data wrangling techniques to prepare it for analysis and insight generation.
• Conduct in depth analyses to identify trends, correlations, anomalies, and patterns that explain market behavior and product quality outcomes.
• Develop predictive and diagnostic models to forecast potential quality impacts, customer trends, and emerging market signals.
• Create intuitive, high quality visualizations that communicate complex findings to both technical and non technical stakeholders.
• Interpret analytical results and collaborate with cross functional teams — including Marketing, Sales, Engineering, and Product Development — to deliver actionable, data driven insights.
• Support ongoing enhancement of reporting frameworks, KPI definitions, and quality measurement processes across the U.S. market.
• Support new, upcoming initiatives including but not limited to database Integration with headquarters.
• Perform safe work practices and participate in trainings and safety programs in a positive and proactive way by following safety rules, procedures, regulations, standards and laws.

Qualifications

• Bachelor's Degree in Computer Engineering/Computer Science, Accounting, Information Technology, Finance
• A minimum of 0-2 years of experience in the area of Data Science / Data Analysis / Statistics

Proficient in statistical programming languages, such as Python including libraries for data manipulation and modeling (Pandas, NumPy, SciPy, etc.)

Deep understanding of database technologies, data pipelines, warehousing, and modern ETL/ELT tools

Proficient in data visualization using Power BI to create clear, impactful dashboards

Advanced Excel skills

Experience working with cloud ecosystems (Azure preferred)

Familiarity with LLMs and generative AI tools

Machine Learning Knowledge including experience with modern ML framework