Data Scientist

Job Summary :

We're looking for an intelligent, proactive, and results-driven Data Scientist to join our team in the Woodlands, TX. 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

Collaborate with IT and cross-functional teams to integrate data solutions into existing systems and workflows.

Reporting & Visualization

Design and maintain dashboards and reporting insights to stakeholders.

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+ 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.

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