Data Scientist

Data Scientist

Summit School Services companies share a strong commitment to provide the highest level of transportation safety, quality transportation, outstanding customer service and positive employee relations. Our corporate headquarters, located in Warrenville, Illinois, houses the administrative and corporate support functions for the organization. Our 250+ local customer service centers (CSCs) are supported by regional operations teams located throughout North America.

Job Overview

We are seeking a business-oriented data scientist who can translate complex data into actionable insights that drive revenue, efficiency, and strategic decision-making. This role partners directly with finance, operations, sales, and marketing leaders to define KPIs, build predictive models, and measure business outcomes. The ideal candidate combines strong analytical skills with business acumen and executive communication capability.

Responsibilities & Duties

• Partner with business leaders to define key performance metrics and measurable success criteria.
• Conduct exploratory analysis to identify revenue drivers, cost opportunities, and operational inefficiencies.
• Develop forecasting, segmentation, and predictive models to support planning and decision-making.
• Design and evaluate A/B tests and experiments to measure business impact.
• Translate analytical findings into clear executive-ready recommendations.
• Build and maintain scalable dashboards and KPI reporting using BI tools.
• Quantify financial impact and ROI of analytics initiatives.
• Present insights to senior leadership and influence strategic direction.

The salary range is $140,000 - $166,000 annually.

Requirements

• Bachelor's or Master's degree in data science, statistics, economics, engineering, or related quantitative field
• 5+ years of experience applying analytics to solve business problems (finance, operations, marketing, supply chain, etc.)
• Strong proficiency in SQL and Python for data analysis and modeling
• Experience with forecasting, segmentation, predictive modeling, and experimentation (A/B testing, hypothesis testing)
• Proficiency in BI tools such as Power BI or Tableau
• Experience quantifying the financial impact of analytics initiatives
• Familiarity with cloud-based analytics platforms (Azure, AWS, or similar)
• Experience applying machine learning techniques to structured and unstructured data to drive business insights
• Strong problem-solving skills and ability to analyze large datasets effectively
• Excellent verbal and written communication skills with the ability to translate insights for non-technical stakeholders
• Ability to manage priorities, work collaboratively, and operate effectively in a fast-paced environment
• Willingness to travel up to 20%

Summit School Services has a zero-tolerance policy on conduct that is incompatible with its policies and values, including sexual exploitation and abuse, harassment, abuse of authority, and discrimination. Summit School Services is committed to promoting the protection and safeguarding of all children and passengers.

We offer medical, dental, vision, basic life insurance coverage, holiday pay, and PTO accrual. Additionally, employees are able to enroll in a retirement savings plan.

At Summit School Services our goal is to be a diverse workforce that is representative of the communities we serve. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law.

Summit School Services LLC's independent subsidiaries and affiliates are an equal employment opportunity (EEO) employer.

The pay rate range, along with most all of the other terms and conditions of employment, vary between different sites, geographical markets, customer/ contractual terms and positions.