Daimler Truck North America
Data Science and Business Intelligence Generalist I
Detroit, MI US · Junior · Contract
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odds of building a lasting career here
Thin sponsorship signal and lottery-bound (~15% per draw). A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$19,147 more — $90,147 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $90,147 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · Detroit-Warren-Dearborn, MI. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Green-card follow-through: 50%
DOL often reclassifies their job titles
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- Prepares operations analyses, including analysis of competitors, operational effectiveness and capacity utilization.
- are within the Data Science & Business Intelligence job family group as a generalist or in a combination of job families.
- Posting Information We provide a scheduled posting end date to assist our candidates with their application planning.
Responsibilities
- Knowledge of data analysis and statistical methods for developing meaningful and accurate responses to business use-cases
- Ability to maintain appropriate documentation to reflect solution design, life cycles, and configuration of changes including data architecture and data lineage
- Ability to test solutions, validate results, document findings, and communicate issues to business and technical partners.
- Knowledge of Data Science use cases and in developing and deploying solutions based on data science models.
- Knowledge of ETL/ELT data acquisition, data warehouse management, and data model design principles.
- Knowledge of how to support and leverage integrated (on-prem and cloud) enterprise data environment and tools for data analytics, business intelligence and data science initiatives and projects
- Experience using AI-assisted tools such as Microsoft Copilot or Azure AI services to support business processes, data analysis, or solution development.
Requirements
- Applicants must be legally authorized to work permanently in the country the position is located in at the time of application
- Final candidate may be required to successfully complete a pre-employment drug screen
- Bachelor's degree from an accredited university/college in related field
- 0-2 years of relevant experience or 4 years of relevant experience in lieu of degree
- Knowledge of relational databases required (i.e. SQL, Oracle)
- Experience with data visualization tools (e.g., Power BI)
Compensation
- Position offers a starting salary range of $71,000 - $91,000 USD
Company info
- At Daimler Truck North America, we recognize our world is changing faster than ever before.
- That is what we are working toward - for all who keep the world moving.
Equal opportunity
- 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.
Visa & Work Authorization
- This position is not open for Visa sponsorship or to existing Visa holders
This listing is sourced directly from Daimler Truck North America's careers page and normalized into a canonical job model.