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Data Scientist

Job in Vance, Tuscaloosa County, Alabama, 35490, USA
Listing for: Taleo
Full Time position
Listed on 2026-10-05
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Location: Vance

Job Description - Data Scientist (MER
00044YX)

Description

Mercedes-Benz:
Building Exceptional Vehicles... and Careers!

The best chapters in Alabama’s automotive success story are yet to come. The Mercedes-Benz automobile of the future will be different; greener, more efficient, safer, and even more fascinating.

Only one thing will never change – It will wear a star.

The vehicles we manufacture are the finished results of our skilled workforce, and we're hiring even more. We are looking for Specialists and Team Members to join us in crafting a wide variety of vehicles from the Mercedes-Maybach GLS SUV to our all-electric electric vehicle, the EQS SUV and EQE SUV. Our Tuscaloosa County site is home to the production of Mercedes’ luxury SUV models, including electric vehicles.

Just down the road in Bibb County, MBUSI has launched the production of high-performance lithium-ion batteries. Our two campuses are among the most advanced automotive manufacturing facilities in the world, with over 6 million square feet combined.

MBUSI offers an excellent total rewards package including:

  • competitive compensation
  • health and life insurance
  • 401(k) matching program and defined contribution retirement plan
  • annual bonuses
  • tuition assistance
  • paid holidays

Further on-site MBUSI resources such as childcare, medical center and fitness center are available for all to utilize.

  • childcare
  • medical center
  • fitness center

Our Team Members share a common goal to be the best luxury auto manufacturer in North America. MBUSI is committed to excellence and actively promotes positive team culture, teamwork, safety, quality, and continuous improvement.

Mercedes-Benz, U.S. International, Inc. takes pride in being an Equal Employment Opportunities workplace.

Mercedes-Benz U.S. International, Inc. is committed to equal opportunity regardless of race, age, ethnic origin, and any other characteristics classified under applicable Local and Federal laws.

Purpose of the Position

Under general supervision, this role designs, builds, and maintains scalable digital solutions that improve procurement transparency, supplier readiness, and operational decision‑making across North America.
The Data Analyst operates transforming business requirements into robust data pipelines, automations, analytics, and BI tools aligned with MBUSI and MP Germany standards.
This role enables dashboards that support decisions affecting ~$1B PM/MLV spend and influences supplier readiness across 200+ suppliers in USMCA. Failures in data quality or reporting accuracy may impact sourcing decisions, cost savings transparency, and compliance with RVC/USMCA regulations. operational efficiency, process automation, and risk mitigation by delivering accurate dashboards and automated reporting for contract effectiveness, supplier milestones, localization/RVC, cost initiatives, capacity KPIs, and performance indicators.

Essential

Functions

'1. Data Engineering & Architecture — 20%
Build and maintain data pipelines (ETL/ELT) using SQL, Python, and Databricks; integrate internal systems (SAP, procurement, SQE, logistics) and external sources (supplier portals, APIs). Document data lineage, schema, and definitions to ensure transparency and reuse.
2. Software & Automation Development — 15%
Design and develop automated workflows and services using Python, Power Automate, and Power Apps to reduce manual effort, improve data accuracy, and ensure reliable refresh cycles with monitoring, logging, and alerting.
3. BI & Advanced Analytics — 15%
Develop datasets, semantic models, dashboards, and KPIs in Power BI covering supplier performance, contract effectiveness, AVOB, future sourcing, localization/RVC, capacity readiness, and cost initiatives. Apply analytical methods such as trend analysis,…

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