Data Scientist

Data Scientist page is loaded## Data Scientist locations:
1010-Corporate Offices WCItime type:
Full time posted on:
Posted Todayjob requisition :
R-94407
*
* 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.

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.*# Waste Connections is an integrated solid waste services company that provides solid waste collection, transfer, disposal and recycling services in mostly exclusive and secondary markets. Our goal is to create an environment where self-directed, empowered employees strive to consistently fulfill our constituent commitments and seek to create positive impacts through interactions with customers,…