{"id":2204210,"url":"https://alion.io/job/freightliner-data-science-intern","title":"Data Science 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":97,"open_postings":3,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":10,"computed_at":"2026-10-12T06:55:09Z"}},"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":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-10-09T22:32:44Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-12T13:12:50Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"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.\nIn this exciting and challenging role as a Data Science Intern, you will use data, analytics, and artificial intelligence to help solve real-world business problems and support the development of innovative products and capabilities.\nYou will work with enterprise data from a variety of sources, including high-volume vehicle and IoT data, and use programming, statistics, visualization, and analytical techniques to investigate specific business questions and communicate meaningful findings.\nWe are looking for a highly motivated candidate who is curious, comfortable learning new technologies, and able to work independently toward a defined goal. You will have opportunities to explore modern data science tools and integrated AI-assisted tools for coding, analysis, research, and problem solving, while learning how to evaluate and validate AI-generated results.\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\nWork with internal customers and team members to understand business questions and translate them into data science and analytical problems.\nExplore, clean, transform, and analyze structured and unstructured data from multiple sources.\nUse Python, SQL, or other programming languages to perform data analysis and develop analytical solutions.\nApply statistical and mathematical methods to understand patterns, trends, relationships, and anomalies in data.\nDevelop visualizations that clearly communicate analytical findings to technical and non-technical audiences.\nDesign analyses and experiments that answer specific business questions or evaluate hypotheses.\nHelp develop and evaluate predictive models, machine learning techniques, and other advanced analytics where appropriate.\nAssess data quality and understand how limitations in data may affect analytical conclusions.\nDevelop rapid prototypes and proof-of-concept solutions to evaluate new ideas.\nUse integrated AI tools to assist with coding, data exploration, research, documentation, and problem solving, while critically reviewing and validating generated results.\nCommunicate methodology, findings, assumptions, and recommendations to project stakeholders.\nWork within an Agile team in a dynamic, collaborative environment.\nLearn and evaluate new data science, analytics, visualization, and AI technologies.\nCollaborate with data scientists, data engineers, software developers, product teams, and business stakeholders.\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 one year of the position start date (May/June).Must be pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or another quantitative or technical field.\n\nProgramming experience with Python, SQL, or another programming language.\nUnderstanding of fundamental data visualization practices and how to communicate information effectively through charts and other visualizations.\nAbility to work independently toward a defined goal, investigate problems, and seek out information needed to make progress.\nExperience completing at least one data science or analytical project that required defining or understanding a specific question, constructing an analysis, and using data to reach a conclusion.\nBackground in statistics, mathematics, or other quantitative methods.\nExceptional Candidate Might Bring\nWorking with Python data science libraries or analytical tools.\nWriting SQL queries and working with relational data.\nData cleaning, exploratory data analysis, and feature development.\nStatistical analysis, predictive modeling, or machine learning.\nData visualization or dashboard development.\nWorking with large, time-series, geospatial, IoT, or other complex datasets.\nExperience with cloud data platforms such as Snowflake, Azure, AWS, or Google Cloud.\nExperience using AI-assisted development tools, coding assistants, or other integrated AI tools to support analysis and problem solving.\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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