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