Data Scientist

Waste Connections is seeking a Data Scientist to join our growing Analytics & AI team.This role willpartnerwith business leaders to solve complex operational and strategic challenges through analytics, machine learning, data engineering, and AI-driven solutions. The ideal candidate is a hands-on problem solver who can translate business needs into actionable insights and production-ready solutions. This position requires a blend of technicalexpertise, business acumen, andstrong communicationskills, with ownership spanning the full lifecycle from data exploration and model development to deployment and adoption. Essential Duties and Responsibilities Partner with business stakeholders toidentifyopportunities for analytics, automation, and AI solutions Develop, deploy, andmaintainmachine learning models and advanced analytics solutions Design and build scalable data pipelines and data products Perform data analysis, feature engineering, forecasting, and statistical modeling Create dashboards, reports, and self-service analytics tools to support decision-making Monitor, improve, and support production analytics solutions Present findings and recommendations to both technical and non-technical audiences Drive measurable business impact through data-driven insights and operational improvements Collaborate with data engineers, analysts, and technology teams on enterprise initiatives Qualifications Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field 3+ years of experience in Data Science, Machine Learning, Analytics, or a related discipline Strongproficiencyin Python and SQL Experience building and deploying production machine learning or analytics solutions Experience developing andmaintainingdata pipelines Strong knowledge of statistics, hypothesis testing, and model evaluation techniques Experience communicating analytical findings to business stakeholders Excellent problem-solving, analytical, and communication skills Preferred Qualifications Experience with Databricks, Spark, orPySpark Experience with cloud platforms such as AWS or Azure Experience with Tableau, Power BI, or other data visualization tools Experience with modern dataarchitecturesandlakehouseenvironments Experience developing AI-enabled applications Familiarity with forecasting, optimization, customer analytics, pricing, or operational analytics What We Offer Opportunity to work on high-impact business problems Exposure to analytics, machine learning, data engineering, and AI initiatives Direct interaction with business leaders and decision-makers Ownership of projects from concept through production deployment Collaborative team environment with strong opportunities for growth and development Waste Connections is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to disability or protected veteran status. Waste Connections