{"id":2748347,"url":"https://alion.io/job/freightliner-applied-data-technology-intern","title":"Applied Data & Technology Intern","company":{"id":1891119,"name":"Freightliner","domain":"freightliner.com","url":"https://alion.io/company/freightliner-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":7,"ghost_share":0,"stale_share":0.143,"repost_share":0,"time_to_fill_p50_days":10,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Portland, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":21,"max":29,"currency":"USD","period":"hour","gross":null,"usd_annual":58000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-16T23:13:03Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-17T04:13:40Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Inside the Role\nInterns will gain knowledge and experience through exciting and real-life learning opportunities. Interns must work in accordance with DTNA’s core values of passion, respect, integrity and discipline. Internship positions can be located at various DTNA locations across the US. We are looking for high performing and motivated individuals in various areas within DTNA organizations. DTNA internships begin each summer in May or June.Interns in this role may have the opportunity to transition into a full-time position subject to manager evaluations and business availability.\nThe Business Data Analytics Team within the Continuous Improvement supports data analytics, automation, and artificial intelligence initiatives across Daimler Truck North America. The team partners with business units to enable data-driven decision making, improve processes, and build scalable analytics, automation and AI solutions. As an intern supporting artificial intelligence and knowledge systems, this role will focus on developing and enhancing tools that make information more accessible and actionable through modern technologies such as generative artificial intelligence. The internship provides exposure to commercial truck development operations while contributing to building a culture of continuous improvement, data literacy, and innovation across the organization.\nPosting Information\nWe 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.\nWe Take Care of Our Team\nSalary placement is determined by your anticipated graduation year and ranges between $21 - $29 per hour.\nBenefits include:\nProfessional development and networking events, including resume reviews/mock interviews\nHousing and transportation stipend\nEmployee resource groups\nEvent ticket offering (based on corporate availability)\nCompany social events\nWhat You Drive at DTNA\nSupport the development of artificial intelligence-powered knowledge and automation solutions by designing, testing, and improving tools that enable employees to efficiently search, access, and interact with organizational data, documentation, and best practices.\nAssist in building and enhancing generative artificial intelligence applications that summarize information, answer user questions, and automate internal Continuous Improvement processes to improve efficiency, consistency, and decision making.\nCollaborate with business partners to understand information needs and operational workflows, translating those needs into structured data solutions using the Snowflake database to enable scalable, reliable, and accessible data management.\nContribute to documentation, training materials, and adoption efforts to ensure artificial intelligence, analytics, and automation solutions are sustainable, user-friendly, and effectively adopted across the organization.\nLead and support efforts to foster an inclusive and welcoming workplace culture where everyone belongs\nKnowledge You Should Bring\nMust be currently enrolled in a Bachelor’s program or higher from an accredited college/university OR have recently graduated within 1 year of the position start date (May/June) Must be pursuing a degree in Computer Science, Data Science, Mathematics, Statistics, Information Systems or Information Technology, Business Intelligence, Analytics or Data Analytics, or related discipline.\n\nExperience with programming in Python, including working with data analysis libraries and building scripts or applications\nHands-on experience developing artificial intelligence or machine learning solutions, such as predictive models, natural language processing applications, or generative artificial intelligence tools\nExperience working with cloud-based data platforms and databases, preferably including the Snowflake data platform or similar technologies\nFamiliarity with data visualization and analytics tools such as Microsoft Power BI, Tableau, or similar platforms\nBasic understanding of data structures, data management, and data engineering concepts\nWhere We Work\nThis position is open to applicants who can work in (or relocate to) the following location(s)-\nPortland, OR US. Relocation assistance for this position is available when the selected candidate meets eligibility criteria.Schedule Type:\nHybrid (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.\nThat is what we are working toward - for all who keep the world moving.\nAdditional Information\nThis position isnot open to Visa sponsorship or to existing Visa holders\n\nApplicants must be legally authorized to work permanently in the country the position is located in at the time of application\n\nFinal candidate must successfully complete a criminal background check\nFinal candidate may be required to successfully complete a pre-employment drug screen\nContractors, professional services, or other contingent workers should confirm with their local agency if they are eligible to apply for FTE positions\nEEO - Disabled/Veterans\nDaimler 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.\nFor 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. 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