Data Scientist
Waste Connections
The Woodlands, TX · Posted August 17, 2026
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Where The Woodlands, TX ranks
Where The Woodlands, TX placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #7Best cities for mid-career professionals in the Southwest57% · of 44
- #10Best cities for entry-level jobs that want AI skills in the Southwest7% · of 39
- #16Cities with the most hybrid jobs in the Southwest9% · of 43
- #17Cities with the most jobs that need no experience in the Southwest1.2% · of 43
- #22Best cities for AI-skill jobs in the Southwest4% · of 44
- #22Best cities for director and executive jobs in the Southwest16% · of 44
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing does not state pay. Across 214 open data scientist listings that state pay, the middle half runs $127,000 to $175,000 and the median is $151,500.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among data scientists, AI is already used for a large share of the tasks. Measured exposure for data scientists: 46% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
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.