PrePass ยท 1 day ago
Senior Data Scientist
PrePass is North America's most trusted weigh station bypass and toll management platform, transforming the transportation industry with innovative solutions. The Senior Data Scientist will lead advanced analytics and machine learning initiatives, collaborating with cross-functional teams to develop scalable models and insights that enhance transportation logistics.
Non ProfitPublic Safety
Responsibilities
Design, train, and evaluate predictive and optimization models using statistical, machine learning, and deep learning techniques
Build and deploy models for classification, regression, clustering, and anomaly detection
Develop time series forecasting models for churn prediction and demand forecasting
Balance R&D prototyping with production-grade model development
Partner with data architects and engineers to source, clean, and transform large datasets from the Fabric data lakehouse and warehouse environments
Create reusable data pipelines and feature stores for model training and scoring
Ensure model reproducibility, explainability, and integration into downstream reporting or applications
Use Python extensively with libraries such as scikit-learn, pandas, numpy, statsmodels, seaborn, and matplotlib
Work with SQL and T-SQL for data manipulation and analysis
Create compelling visualizations and dashboards using Power BI including DAX measures
Partner with BI analysts, data engineers, and architects to understand business needs
Translate complex modeling outcomes into actionable business recommendations
Present findings and model outcomes to non-technical stakeholders across Product, Operations, and Leadership
Contribute to the development of scalable data science infrastructure and best practices
Qualification
Required
Bachelor's degree in computer science, statistics, mathematics, machine learning, or equivalent quantitative field. (Master's or PhD preferred.)
5+ years of experience in building machine learning models in business contexts
Proven track record of deploying models in production environments
Strong collaboration and communication skills in dynamic, cross-functional teams
Preferred
Proficiency in Microsoft cloud technologies, especially Fabric
Experience building ML pipelines with MLOps features including preprocessing, training, model deployment, monitoring/retraining, and CICD
Experience working with GPS telemetry data including latency, gaps, and error handling
Familiarity with geospatial data science including spatial joins, clustering, ArcGIS GeoAnalytics, and geohashing
Benefits
Robust benefit package that includes medical, dental, and vision that start on date of hire
Paid Time Off, to include vacation, sick, holidays, and floating holidays
401(k) plan with employer match
Company-funded "lifestyle account" upon date of hire for you to apply toward your physical and mental well-being (i.e., ski passes, retreats, gym memberships)
Tuition Reimbursement Program
Voluntary benefits, to include but not limited to Legal and Pet Discounts
Employee Assistance Program (available at no cost to you)
Company-sponsored and funded "Culture Team" that focuses on the Physical, Mental, and Professional well-being of employees
Community Give-Back initiatives
Culture that focuses on employee development initiatives
Company
PrePass
PrePass is a non-profit public/private partnership dedicated to advancing the safety & efficiency of the commercial transportation industry.
H1B Sponsorship
PrePass has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (4)
Funding
Current Stage
Growth StageRecent News
2025-09-04
Company data provided by crunchbase