Data Scientist III

Inside the Role

Daimler Truck North America (DTNA) continuously strives to lead the commercial vehicle manufacturing industry. As part of the newly formed Corporate Development Group, we are hiring a Data Scientist to help shape our long-term corporate strategic plan. This role offers a unique opportunity to contribute to DTNA’s long-term vision by leveraging data to ensure our strategy is grounded in empirical evidence and measurable outcomes—turning data into a competitive advantage in long-term planning. Your expertise will help shape DTNA’s top imperatives (i.e. prioritized strategic initiatives) by collaborating with team members and business partners to understand the company’s data landscape and demonstrate to executives and operational teams how it drives overall success.

Posting Information

We provide a scheduled posting end date to assist our candidates with their application planning. While this date reflects our latest plans, it is subject to change, and postings may be extended or removed earlier than expected.

We Take Care of Our Team

Inside the Role

Daimler Truck North America (DTNA) continuously strives to lead the commercial vehicle manufacturing industry. As part of the newly formed Corporate Development Group, we are hiring a Data Scientist to help shape our long-term corporate strategic plan. This role offers a unique opportunity to contribute to DTNA’s long-term vision by leveraging data to ensure our strategy is grounded in empirical evidence and measurable outcomes—turning data into a competitive advantage in long-term planning. Your expertise will help shape DTNA’s top imperatives (i.e. prioritized strategic initiatives) by collaborating with team members and business partners to understand the company’s data landscape and demonstrate to executives and operational teams how it drives overall success.

What You Drive at DTNA

• Quantify strategic choices: Use machine learning algorithms to build scenario models (market, regulatory, adoption curves, cost-to-serve, capacity, and risk) that inform the prioritization and sequencing of DTNA’s top imperatives. Package recommendations for DTNA’s Operating Committee (OpCom) decisions.
• Imperative deployment analytics: Work with business partners to define success criteria and KPIs for the imperatives and other strategic initiatives; build dashboards to track progress, surface risks, and enable course corrections during implementation and sustainment.
• Business Development and Corporate Responsibility: Partner with the Business Development team on JV/partnership analytics (e.g., value realization, portfolio health), with Autonomous Technology Group (ATG) on autonomous‑related strategy inputs, and with Corporate Responsibility on sustainability metrics aligned to global targets.
• Data Liaison: Collaborate with Corporate Development teams, business partners, Daimler Truck AG, and external partners to ensure data access and alignment.
• Data Modeling and ETL (Extract, Transform, Load): Create data pipelines to use internal and external data to build tables and/or databases for analysis and reporting.
• Stakeholder enablement: Coach strategy leads and initiative owners on interpreting models and dashboards; solicit feedback to improve accuracy, usability, and adoption.
• Executive-level storytelling: Create concise, visual narratives and exhibits for OpCom and senior leadership, translating complex data findings to business implications and recommendations.
• Data Science Trends: Stay abreast of the latest AI & data analytics trends to push the boundaries of data science solutions employed by DTNA.

Knowledge You Should Bring

• Bachelor's degree in a quantitative discipline includes data science, computer science, mathematics, statistics, engineering, physics, economics, finance or similar, and 5-7 years of relevant experience in lieu of degree.
• Proficient with one or more programming languages like Python, R, or SAS.
• Proficient with one or more dialects of SQL.
• Proficient with one or more business intelligence tools like Tableau, Power BI, or Alteryx.
• Foundational knowledge of data warehouses like Snowflake or Databricks.
• Ability to align Business Intelligence efforts with strategic objectives.
• Strong analytical, conceptual, and problem-solving abilities.
• Skillful in presenting data in a compelling narrative that facilitates understanding and decision-making.
• Adaptive and continuous growth mindset.
• Ability to thrive in a fast-paced ambiguous environment.
• Exceptional cross-functional collaboration and relationship building.
• Excellent verbal and written communication skills.
• Effective at prioritizing tasks, managing multiple projects, and meeting deadlines.
• Strategic mindset and ability to bring ideas and insights towards a bigger picture.
• Current or prior work experience in the automotive and/or commercial trucking industry.
• An attached resume is required.

·        

Exceptional Candidates Might Have

• Master’s degree or higher.
• Any Data Science Certification.
• Demonstrated ability to apply AI to solve problems or improve efficiency.
• Experience with machine learning frameworks like Tensorflow, PyTorch and Scikit-Learn.
• Demonstrated experience with the use of advanced statistics in analyses like Multivariate Analysis (e.g., Principal Component Analysis (PCA), Regression Analysis (e.g., Logistic or Poisson), and Time Series and Forecasting (e.g., ARIMA/SARIMA).
• Demonstrate experience with data warehouses like Snowflake or Databricks.

Where We Work

This position is open to applicants who can work in (or relocate to) the following location(s)-

Portland, OR US. Relocation assistance is not available for this position.

Schedule Type:

Hybrid (4 days per week in-office / 1 day remote). This schedule builds our #OneTeamBestTeam culture, provides an unparalleled customer experience, and creates innovative solutions through in-person collaboration.

At Daimler Truck North America, we recognize our world is changing faster than ever before. By listening to the needs of today, we’re building to solve with cutting-edge solutions in sustainability and future driving technology across electric, hydrogen and autonomous. These solutions, backed by years of innovative success and achievement, continue DTNA’s legacy as the undisputed industry leader. Our evolving brand portfolio is second to none, including Freightliner Trucks, Western Star, Demand Detroit, Thomas Built Buses, Freightliner Custom Chassis, and Financial Services. Together, we work as one team towards our envisioned future – building a cleaner, safer and more efficient tomorrow for all.

That is what we are working toward - for all who keep the world moving.

Additional Information

• Visa sponsorship will only be open to current Daimler Truck North America employees working under an existing U.S. Daimler Truck North America Visa

• All other applicants must be legally authorized to work permanently in the country the position is located in at the time of application

• Final candidate must successfully complete a criminal background check

• Final candidate may be required to successfully complete a pre-employment drug screen

• Contractors, professional services, or other contingent workers should confirm with their local agency if they are eligible to apply for FTE positions

• EEO - Disabled/Veterans

Daimler Truck North America is committed to workforce inclusion and providing an environment where equal employment opportunities are available to all applicants and employees without regard to race, color, sex (including pregnancy), religion, national origin, age, marital status, family relationship, disability, sexual orientation, gender identity and expression (including transgender and transitioning status), genetic information, or veteran status.

For an accommodation or special assistance with applying for a posted position, please contact our Human Resources department at 503-745-8982 or toll free 800-206-3369. For TTY/TDD enabled call 503-745-2137 or toll free 866-355-6935.