Data Scientist

Waste Connections is seeking a Data Scientist to join our growing Analytics & AI team. This role will partner with 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 technical expertise, business acumen, and strong communication skills, with ownership spanning the full lifecycle from data exploration and model development to deployment and adoption.

Essential Duties and Responsibilities

• Partner with business stakeholders to identify opportunities for analytics, automation, and AI solutions

• Develop, deploy, and maintain machine 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

• Strong proficiency in Python and SQL

• Experience building and deploying production machine learning or analytics solutions

• Experience developing and maintaining data 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, or PySpark

• Experience with cloud platforms such as AWS or Azure

• Experience with Tableau, Power BI, or other data visualization tools

• Experience with modern data architectures and lakehouse environments

• 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