Location: The Woodlands, Texas
Travel: Minimal
Department: Financial Planning, Analysis & Performance Optimization
Reports to: Financial Planning, Analysis & Performance Optimization
About Waste Connections: Waste Connections is a leading provider of waste management services across North America, committed to operational excellence and sustainable solutions. We're seeking a talented Data Scientist to join our Financial Planning, Analysis & Performance Optimization Department and drive data-driven insights that enhance efficiency and performance across our organization. Job Summary: We're looking for an intelligent, proactive, and results-driven Data Scientist to join our team. In this role, you'll work closely with the Financial Planning, Analysis & Performance Optimization Department and partner directly with IT to transform raw data into actionable strategies. With minimal travel required, you'll focus on leveraging advanced analytics to optimize processes, improve decision-making, and deliver measurable value. If you're a go-getter with a passion for solving complex problems using cutting-edge tools, we want to hear from you! Key Responsibilities:
Data Analysis & Insights
Analyze large datasets to identify trends, inefficiencies, and opportunities for performance improvement. Provide actionable recommendations to optimize operational and financial performance.
Model Development & Deployment
Develop and deploy predictive models and machine learning algorithms to support business objectives. Leverage advanced analytics platforms, such as Databricks, for scalable data processing.
Data Integration
Reporting & Visualization
Data/AI strategy & roadmap
Identify and develop future AI use cases across the organization, driving innovation and helping shape the company's long-term Data Science and AI strategy Stay current with industry trends and emerging technologies to continually enhance our data capabilities
Qualifications:
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 3-4 years of relevant industry work experience in Data Science Significant relevant experience building and deploying Data Science solutions. Relevant topics include customer segmentation/clustering, pricing, optimization, and experimentation. Deep technical and data science expertise, with demonstrated experience in one or more of the following areas:
Analytical methods: statistical modeling (e.g., linear regression, GLMs, time series), supervised machine learning (e.g., random forests), design of experiments, segmentation/clustering methods, mixed-integer linear optimization Analytics tools: Data wrangling (e.g. SQL), Versioning (e.g. Git), Data Modeling (e.g. python), Data processing frameworks (e.g. Spark/PySpark), Data visualization (e.g. Tableau) Data management environments: Analytics platforms (e.g. Databricks), data pipeline development (e.g. AWS Glue)
Experience building in-production models, including associated scripting, error handling and documentation Proven ability to drive P&L impact through analytics Exceptional problem-solving skills and a proactive, self-starter mindset. Ability to communicate complex technical concepts to non-technical stakeholders. Strong collaboration skills to work effectively with IT and other departments. Bonus: Familiarity with Pigment or similar business planning tools.
Why Join Us? At Waste Connections, you'll be part of a dynamic team that values innovation and excellence. This role offers the opportunity to make a real impact with minimal travel, allowing you to focus on what you do best-turning data into solutions. We offer competitive compensation, a supportive work environment, and the chance to grow with a leader in the industry. How to Apply: Ready to take the next step? Submit your resume and a brief cover letter highlighting your experience with SQL, Python, and AWS Data Lake tools. Let us know why you're the intelligent go-getter we're looking for! 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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