Data Scientist
Waste Connections
Data Scientist
Job 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.
Locations
- 1010-Corporate Offices WCI
Skills Required
- Data Scienceintermediate
- Pythonintermediate
- and deploying production machine learningintermediate
- statisticsintermediate
- Databricksintermediate
- cloud platforms such as AWSintermediate
- Tableauintermediate
- modern data architecturesintermediate
- forecastingintermediate
Required Qualifications
- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field (degree in data science)
- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field (degree in data science)
- 3+ years of experience in Data Science, Machine Learning, Analytics, or a related discipline (experience, 3 years)
- 3+ years of experience in Data Science, Machine Learning, Analytics, or a related discipline (experience, 3 years)
- Strong proficiency in Python and SQL (experience)
- Strong proficiency in Python and SQL (experience)
- Experience building and deploying production machine learning or analytics solutions (experience)
- Experience building and deploying production machine learning or analytics solutions (experience)
- Experience developing and maintaining data pipelines (experience)
- Experience developing and maintaining data pipelines (experience)
- Strong knowledge of statistics, hypothesis testing, and model evaluation techniques (experience)
- Strong knowledge of statistics, hypothesis testing, and model evaluation techniques (experience)
- Experience communicating analytical findings to business stakeholders (experience)
- Experience communicating analytical findings to business stakeholders (experience)
- Excellent problem-solving, analytical, and communication skills (experience)
- Excellent problem-solving, analytical, and communication skills (experience)
Preferred Qualifications
- Experience with Databricks, Spark, or PySpark (experience)
- Experience with Databricks, Spark, or PySpark (experience)
- Experience with cloud platforms such as AWS or Azure (experience)
- Experience with cloud platforms such as AWS or Azure (experience)
- Experience with Tableau, Power BI, or other data visualization tools (experience)
- Experience with Tableau, Power BI, or other data visualization tools (experience)
- Experience with modern data architectures and lakehouse environments (experience)
- Experience with modern data architectures and lakehouse environments (experience)
- Experience developing AI-enabled applications (experience)
- Experience developing AI-enabled applications (experience)
- Familiarity with forecasting, optimization, customer analytics, pricing, or operational analytics (experience)
- Familiarity with forecasting, optimization, customer analytics, pricing, or operational analytics (experience)
Responsibilities
- Partner with business stakeholders to identify opportunities for analytics, automation, and AI solutions
- Partner with business stakeholders to identify opportunities for analytics, automation, and AI solutions
- Develop, deploy, and maintain machine learning models and advanced analytics solutions
- Develop, deploy, and maintain machine learning models and advanced analytics solutions
- Design and build scalable data pipelines and data products
- Design and build scalable data pipelines and data products
- Perform data analysis, feature engineering, forecasting, and statistical modeling
- Perform data analysis, feature engineering, forecasting, and statistical modeling
- Create dashboards, reports, and self-service analytics tools to support decision-making
- Create dashboards, reports, and self-service analytics tools to support decision-making
- Monitor, improve, and support production analytics solutions
- Monitor, improve, and support production analytics solutions
- Present findings and recommendations to both technical and non-technical audiences
- Present findings and recommendations to both technical and non-technical audiences
- Drive measurable business impact through data-driven insights and operational improvements
- Drive measurable business impact through data-driven insights and operational improvements
- Collaborate with data engineers, analysts, and technology teams on enterprise initiatives
- Collaborate with data engineers, analysts, and technology teams on enterprise initiatives
Benefits
- general: Opportunity to work on high-impact business problems
- general: Opportunity to work on high-impact business problems
- general: Exposure to analytics, machine learning, data engineering, and AI initiatives
- general: Exposure to analytics, machine learning, data engineering, and AI initiatives
- general: Direct interaction with business leaders and decision-makers
- general: Direct interaction with business leaders and decision-makers
- general: Ownership of projects from concept through production deployment
- general: Ownership of projects from concept through production deployment
- general: Collaborative team environment with strong opportunities for growth and development
- general: Collaborative team environment with strong opportunities for growth and development
- general: 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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