Data Science Intern at Daimler Truck AG

Fort Mill, South Carolina, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Jan, 26

Salary

30.0

Posted On

05 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, R, Machine Learning, Data Science, Statistical Modeling, Data Manipulation, Documentation, Organizational Skills, Communication Skills, Interpersonal Skills, Creative Mindset, Customer Focused Solutions, PowerBI, Tableau, Alteryx

Industry

Motor Vehicle Manufacturing

Description

Inside the Role Interns 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. Daimler Truck Remarketing (DTR) is the corporate entity supporting Daimler New Truck Sales efforts. Each year DTNA takes in thousands of trades from the largest and most successful mega-fleets in America. DTR is a B2B (Business-to-Business) sales channel to wholesale (“remarket”) used trucks via multiple sales channels. Created to help facilitate new truck transactions while supporting industry-leading resale values. This internship will focus on using DTR data and Machine Learning to build models to drive insights and decision-making for DTR. You will work closely with DTR staff across business units to gather and document business requirements, identify and gather necessary data, combine, clean and manipulate data and use Machine Learning, AI or Statistical Modeling to build predictive models. You will also glean insights from the curated data and models to present findings to a business and technical audience. Scope Develop a solution that predicts the time it takes a used truck to get ready for delivery to a dealer on the VIN level and then take weighted averages of all predictions to get the average time it takes to get a truck ready. Deliverables 1. Custom SQL code to combine necessary data about trucks on the VIN level 2. A SQL database table containing all truck VIN level data 3. Custom Python or R machine learning model to predict the time it takes for a truck to be ready for delivery 4. Custom Python or R machine learning code to score the data to make new predictions 5. Set schedule for model to run automatically to build and score model 6. A SQL database table containing all the predictions on a VIN level Interns in this role may have the opportunity to transition into a full-time position subject to manager evaluations and business availability. 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 Salary placement is determined by your anticipated graduation year and ranges between $21 - $30 per hour. Benefits include: Professional development and networking events, including resume reviews/mock interviews Housing and transportation stipend Employee resource groups Event ticket offering (based on corporate availability) Company social events What You Drive at DTNA See a data/analytics project from start to completion Gather user requirements for analytics project Perform deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making Participate in critical, relevant projects to uncover insights that will be presented to key leadership – influencing strategic decisions Develop data set processes, address business issues with data sets and find hidden patterns using data Share your insights and drive outcomes individually and in collaborative, encouraging environments Present results in a way that is clearly understandable and relatable to the domain expert Lead and support efforts to foster an inclusive and welcoming workplace culture where everyone belongs Knowledge You Should Bring Must 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) Some demonstration of programming skills in one or more languages Excellent documentation and organizational skills The ability to create insights utilizing machine learning A basic understanding of how machine learning works with the goal of supporting the domain experts Customer orientated with the drive to develop customer-focused solution Ability to work in an environment of ambiguity and ongoing change Pursuing a bachelors degree Applied Mathematics, Statistics, Data Science, Physics or related field. Experience with: SQL, Python, R, Tableau, PowerBI, Alteryx, Microsoft SQL Server Management Studio, Presenting Strong oral and written communication skills Creative mindset Interpersonal skills and ability to work in a team environment #LI-Hybrid Where We Work This position is open to applicants who can work in (or relocate to) the following location(s)- Fort Mill, SC US. Relocation assistance for this position is available when the selected candidate meets eligibility criteria. 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 to 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. SHAPE YOUR FUTURE. CHANGE THE WORLD. Are you ready to join the inspired people who are helping shape the future of commercial vehicle manufacturing? Our employees enjoy lucrative benefits, competitive salaries and the opportunity to work in jobs across many functions—mechanical engineering and electrical engineering, accounting, sales & marketing, IT and more—both within our company and in our offices around the world.

Responsibilities

Interns will work closely with DTR staff to gather business requirements and manipulate data using Machine Learning to build predictive models. They will present insights from the data and models to both business and technical audiences.