Waste Connections

Data Scientist

Waste Connections United States

Environmental Services · 10,001+ employees

19 h ago
data-scientist Mid (2-5 yrs) Full-time United States
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About the role

Partner with business stakeholders to develop, deploy, and maintain machine learning models and AI-driven solutions. Design scalable data pipelines and provide actionable insights through advanced analytics and reporting.

What they look for

Python SQL Machine Learning Data Science Statistical Modeling Data Engineering Feature Engineering Forecasting Data Visualization Hypothesis Testing Model Evaluation Automation Analytics Communication Problem-solving Business Acumen

Requirements

Requires a bachelor's degree in a quantitative field and at least 3 years of experience in data science or analytics. Candidates must possess strong proficiency in Python, SQL, and statistical modeling techniques.

Benefits

Collaborative team environment Growth and development opportunities High-impact project ownership

Full description

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 

Waste Connections is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to disability or protected veteran status.

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