Waste Connections
Posted 48 days agoVerified live 15h ago
Data Scientist
Brief overview
Remote
UndergradOr in progress
3+ yrsMinimum
PythonSQLMachine LearningData PipelinesStatisticsHypothesis TestingModel EvaluationDatabricksSparkAWSAzurePower BI
About the company
Waste Connectionscareers.wasteconnections.com
Leading provider of non-hazardous solid waste services in the United States and Canada.
Job description
Summary
Waste Connections is seeking a Data Scientist to join its growing Analytics & AI team. The role partners with business leaders to address operational and strategic challenges through analytics, machine learning, data engineering, and AI, owning work from data exploration and model development through deployment and adoption.
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
Skills
- 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
- 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
Qualifications
Must Haves
- 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
Nice to Haves
- 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
Benefits
- 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
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