Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Data Scientist
1010-Corporate Offices WCI
Live, first seen by us 79 days ago- Pay
- Pay not listedSimilar roles state $118K–$193K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDevelop, deploy, and maintain machine learning models and 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
Monitor, improve, and support production analytics solutions
From the employer’s posting
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
What you’ll bring
All qualificationsCore experience
- Strong proficiency in Python and SQL
- Experience building and deploying production machine learning or analytics solutions
- Experience developing and maintaining data pipelines
Preferred experience
- 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
Qualification wording
Strong proficiency in Python and SQL
Experience building and deploying production machine learning or analytics solutions
Experience developing and maintaining data pipelines
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
Education & alternatives
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
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 17, 202679 days ago
- Recorded sightings
- 207
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 79
Up longer than most. Similar jobs usually come down between day 7 and day 56.
From 10,198 similar postings that came down. Coming down is not always a hire.
Waste Connections is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Azure
- Databricks
- Power BI
- Spark
- Tableau
- PySpark
Where the posting names them
- 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 with Databricks, Spark, or PySpark - Experience with cloud platforms such as AWS or Azure - Experience with Tableau, Power BI, or other data visualization tools
Preferred Qualifications - Experience with Databricks, Spark, or PySpark - Experience with cloud platforms such as AWS or Azure
- 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
Your next step
Complete your application on wasteconnections.wd1.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
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.
Source details
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- Location & working pattern
1010-Corporate Offices WCI
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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