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Data Science Intern
Daimler Truck North America. Use data, analytics, and artificial intelligence to solve real-world business problems and support innovative products and capabilities .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in data analysis and visualization using Python and SQL, with a strong foundation in statistics and mathematical methods. Capable of developing predictive models and communicating findings effectively to diverse audiences.
Highest-signal resume keywords
Python ProgrammingSQL ProgrammingData VisualizationStatistical AnalysisMachine Learning Techniques
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisStatistical MethodsPredictive ModelingData CleaningData TransformationData Quality AssessmentExperiment DesignRapid PrototypingAI-Assisted ToolsAnalytical Solutions
Soft Skills
Independent Problem SolvingEffective CommunicationCollaborationAdaptabilityCritical Thinking
Tools & Technologies
Data Science ToolsVisualization ToolsAgile MethodologyAI TechnologiesAnalytical Software
Industry Keywords
Data ScienceQuantitative MethodsBusiness AnalyticsData-Driven Decision MakingTechnical Communication
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Use data, analytics, and artificial intelligence to solve real-world business problems and support innovative products and capabilities
- Explore, clean, transform, and analyze structured and unstructured data from multiple sources
- Use Python, SQL, or other programming languages for data analysis and analytical solutions
- Apply statistical and mathematical methods to identify patterns, trends, relationships, and anomalies
- Develop visualizations for technical and non-technical audiences
- Design analyses and experiments to answer business questions or evaluate hypotheses
- Help develop and evaluate predictive models, machine learning techniques, and advanced analytics
- Assess data quality and the impact of data limitations on conclusions
- Develop rapid prototypes and proof-of-concept solutions
- Use and validate integrated AI-assisted tools for coding, exploration, research, documentation, and problem solving
- Communicate methodology, findings, assumptions, and recommendations to stakeholders
- Work within an Agile team and collaborate with data scientists, data engineers, software developers, product teams, and business stakeholders
- Learn and evaluate new data science, analytics, visualization, and AI technologies
- Support an inclusive and welcoming workplace culture
Requirements
What you’ll need- Must 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
- Programming experience with Python, SQL, or another programming language
- Understanding of fundamental data visualization practices and communicating information effectively through charts and other visualizations
- Ability to work independently toward a defined goal, investigate problems, and seek information needed to make progress
- Experience completing at least one data science or analytical project involving a specific question, analysis, and data-based conclusion
- Background in statistics, mathematics, or other quantitative methods
- Must be legally authorized to work permanently in the United States at the time of application
- Must successfully complete a criminal background check
- May be required to successfully complete a pre-employment drug screen
- No visa sponsorship or existing visa holders
Benefits
Comp & perks- 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
- Relocation assistance when the selected candidate meets eligibility criteria
- Potential transition into a full-time position subject to manager evaluations and business availability