Centraprise Corp.
Data Scientist
Auburn Hills, Michigan, USA · full-time
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.
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
$10,843 more — $110,843 — moves this role to Level III and 3 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 $110,843 would place this position at wage Level III. 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
Third-party placement is common here
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
- Must Have Technical/Functional Skills • Strong hands-on experience in Exploratory Data Analysis (EDA) and Root Cause Analysis (RCA) • Expertise in Machine Learning techniques: classification, regression, clustering, and time-series forecasting • Proficiency in Python and SQL • Experience with ML libraries such as Scikit-learn, XGBoost,
- TensorFlow, or PyTorch • Solid foundation in statistics, probability, hypothesis testing, and experimental design • Experience working with large-scale enterprise datasets Roles & Responsibilities Data Science & Analytics • Perform EDA to identify trends, patterns, anomalies, and key business drivers in complex datasets • Conduct RCA to
Requirements
- Strong hands-on experience in Exploratory Data Analysis (EDA) and Root Cause Analysis (RCA) •
- Proficiency in Python and SQL •
- Experience with ML libraries such as Scikit-learn, XGBoost, TensorFlow, or PyTorch •
- Experience working with large-scale enterprise datasets Roles & Responsibilities Data Science & Analytics •
- Ability to work independently and collaboratively in cross-functional teams •
Compensation
- $100k-$120k
This listing is sourced directly from Centraprise Corp.'s careers page and normalized into a canonical job model.