Data Science and Business Intelligence Generalist II

Inside the Role

The Data Scientist and Business Intelligence Specialist is responsible for the execution of data, analytics, artificial intelligence, and automation initiatives across Our People Team (OPT). This role works directly with business stakeholders to identify opportunities, develop innovative solutions, and deliver scalable products that create business value, improve efficiency, and enable data-driven decisions. As the primary technical expert for AI, analytics, and automation within OPT, the position combines deep technical expertise with hands-on solution delivery, leveraging modern technologies such as business intelligence platforms, intelligent automation, machine learning, and generative AI to solve complex business challenges and drive measurable outcomes.

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

What You Drive at DTNA

 

Solution Development & Delivery

• Design, build, test, deploy, and support analytics, AI, and automation solutions.
• Develop dashboards, reports, agents, copilots, workflows, and predictive models that address business needs.
• Translate business requirements into scalable technical solutions.
• Lead solution implementations from concept through production deployment.

 

Data Analytics

• Apply data modeling, and data architecture principles to solve complex business challenges and improve operational effectiveness.
• Establish scalable and sustainable data solutions that enhance data quality, accessibility, and business value.
• Build and maintain data pipelines and integrations supporting analytics and AI solutions.
• Work with Snowflake, Power Platform, APIs, and enterprise data sources to enable reusable datasets and scalable reporting.

Community & Culture Activation

• Champion data best practices through facilitating forums, events and knowledge-sharing initiatives.
• Act as a connector across silos, promoting collaboration and shared best practices across departments

 

AI Architecture & Intelligent Automation

• Contribute to solution architecture design and document technical implementations in alignment with enterprise standards.
• Develop and configure AI-powered agents using Microsoft Copilot Studio and enterprise AI platforms.
• Implement prompt engineering, retrieval-augmented generation (RAG), and workflow automation solutions.
• Evaluate AI use cases and determine appropriate technical approaches.
• Measure and improve AI solution quality, adoption, and business impact.

 

AI Adoption Across All OPT Groups

• Stay ahead of emerging trends in data science, CI, AI, and automation to inform strategy and tooling decisions.
• Stay current on advancements in artificial intelligence, machine learning, generative AI, intelligent agents, automation, cloud technologies, and data platforms.
• Serve as the primary technical resource for AI-related data, analytics, and platform initiatives within OPT.

Continuous Improvement & Emerging Technology knowledge

• Stay current on advancements in artificial intelligence, machine learning, generative AI, intelligent agents, automation, cloud technologies, and data platforms.

Knowledge You Should Bring

• Bachelor’s Degree and 2-4 years of relevant experience or 6 years of relevant experience in lieu of degree, is required
• Familiarity with AI/ML concepts, ethical data use, and enterprise data architecture.
  Proven experience in problem solving and a constant quest for improvement.
• Proven experience leading data analytics and strong understanding of self-service analytics platforms (e.g., Power BI, Tableau, Alteryx, Power Platform, Snowflake) and data governance principles.
• Excellent communication and stakeholder management skills, with the ability to translate technical concepts into business value.
• An attached resume is required

 

Exceptional Candidates Might Have

• Demonstrated ability to coach and upskill others in data literacy, visualization, automation, data engineering, business intelligence and AI/ML.
• Data modeling experience

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

• This position is not open for Visa sponsorship or to existing Visa holders
• 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.