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Data Scientist

Waste Connectioins

The Woodlands, Texas • Today

Full-time

Data Scientist

Empower Pharmacy

Remote • Today

Full-time

Data Scientist

Stitch Fix

Remote • Today

Full-time

USD 150,000.00 - 177,000.00 per year

Job Details

Skills

Business Acumen
Advanced Analytics
Data Analysis
Statistical Models
Dashboard
Decision-making
Collaboration
Mathematics
Computer Science
Economics
Data Science
Python
SQL
Statistics
Testing
Evaluation
Problem Solving
Conflict Resolution
Analytical Skill
Communication
Databricks
Apache Spark
PySpark
Cloud Computing
Amazon Web Services
Microsoft Azure
Tableau
Microsoft Power BI
Data Visualization
Forecasting
Optimization
Customer Analysis
Pricing
Analytics
Machine Learning (ML)
Data Engineering
Artificial Intelligence
Management

Business Acumen
Advanced Analytics
Data Analysis
Statistical Models
Dashboard
Decision-making
Collaboration
Mathematics
Computer Science
Economics
Data Science
Python
SQL
Statistics
Testing
Evaluation
Problem Solving
Conflict Resolution
Analytical Skill
Communication
Databricks
Apache Spark
PySpark
Cloud Computing
Amazon Web Services
Microsoft Azure
Tableau
Microsoft Power BI
Data Visualization
Forecasting
Optimization
Customer Analysis
Pricing
Analytics
Machine Learning (ML)
Data Engineering
Artificial Intelligence
Management

Summary

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTX183364
Position Id: b86dfdd74bcb5e2ad27162c5193741fa
Posted 30 days ago

Fitment

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Job Details

Skills

Business Acumen
Advanced Analytics
Data Analysis
Statistical Models
Dashboard
Decision-making
Collaboration
Mathematics
Computer Science
Economics
Data Science
Python
SQL
Statistics
Testing
Evaluation
Problem Solving
Conflict Resolution
Analytical Skill
Communication
Databricks
Apache Spark
PySpark
Cloud Computing
Amazon Web Services
Microsoft Azure
Tableau
Microsoft Power BI
Data Visualization
Forecasting
Optimization
Customer Analysis
Pricing
Analytics
Machine Learning (ML)
Data Engineering
Artificial Intelligence
Management

Business Acumen
Advanced Analytics
Data Analysis
Statistical Models
Dashboard
Decision-making
Collaboration
Mathematics
Computer Science
Economics
Data Science
Python
SQL
Statistics
Testing
Evaluation
Problem Solving
Conflict Resolution
Analytical Skill
Communication
Databricks
Apache Spark
PySpark
Cloud Computing
Amazon Web Services
Microsoft Azure
Tableau
Microsoft Power BI
Data Visualization
Forecasting
Optimization
Customer Analysis
Pricing
Analytics
Machine Learning (ML)
Data Engineering
Artificial Intelligence
Management

Summary

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.

Dice Id: RTX183364
Position Id: b86dfdd74bcb5e2ad27162c5193741fa
Posted 30 days ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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