They apply analytical and data science methods to real world datasets to solve ongoing business problems. The Data Scientist III effectively communicates both technical and analytical concepts across ...
They apply analytical and data science methods to real world datasets to solve ongoing business problems. The Data Scientist III effectively communicates both technical and analytical concepts across ...
Join a rapidly growing team of professionals working to build a world-class data science practice focused on solving complex and R&D problems. Recruiting for this role ends on 8/31/2026. Work You'll ...
Join a rapidly growing team of professionals working to build a world-class data science practice focused on solving complex and R&D problems. Recruiting for this role ends on 8/31/2026. Work You'll ...
Data Scientist II
Tempe, AZ · On-site
$131K - $172K/yr
Collaborate closely with data science peers and cross-functional partners across business units * Help ensure data science processes and outputs align with broader team strategies and roadmaps
Data Scientist II
Tempe, AZ · On-site
$131K - $172K/yr
Collaborate closely with data science peers and cross-functional partners across business units * Help ensure data science processes and outputs align with broader team strategies and roadmaps
Data Scientist II
Tempe, AZ · Hybrid
$131K - $172K/yr
Collaborate closely with data science peers and cross-functional partners across business units * Help ensure data science processes and outputs align with broader team strategies and roadmaps
Quick apply
Data Scientist II
Tempe, AZ · Hybrid
$131K - $172K/yr
Collaborate closely with data science peers and cross-functional partners across business units * Help ensure data science processes and outputs align with broader team strategies and roadmaps
Data Science at State Farm: As a Data Scientist at State Farm, you will serve as a subject matter expert and consultant. In this role, you will share your knowledge and work to increase the use of ...
Data Science at State Farm: As a Data Scientist at State Farm, you will serve as a subject matter expert and consultant. In this role, you will share your knowledge and work to increase the use of ...
Data Scientist
Phoenix, AZ · On-site
Required : • Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field. • 3-5 years of experience in data science or advanced analytics ...
Data Scientist
Phoenix, AZ · On-site
Required : • Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field. • 3-5 years of experience in data science or advanced analytics ...
If you're energized by materials science, analytical chemistry, engineering rigor, and solving ... Let's explore them together Phoenix, AZ | Weekend Shift Eligible Eurofins EAG Laboratories is ...
Quick apply
If you're energized by materials science, analytical chemistry, engineering rigor, and solving ... Let's explore them together Phoenix, AZ | Weekend Shift Eligible Eurofins EAG Laboratories is ...
Data Scientist-Direct Hire
Glendale, AZ · On-site
$74K/yr
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study ...
New
Data Scientist-Direct Hire
Glendale, AZ · On-site
$74K/yr
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study ...
New
Data Scientist-Direct Hire
Tucson, AZ · On-site
$74K/yr
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study ...
New
Data Scientist-Direct Hire
Tucson, AZ · On-site
$74K/yr
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study ...
New
Data Scientist-Direct Hire
Mesa, AZ · On-site
$74K/yr
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study ...
New
Data Scientist-Direct Hire
Mesa, AZ · On-site
$74K/yr
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study ...
New
$49K/yr
Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is ...
$49K/yr
Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is ...
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study ...
New
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study ...
New
Data Scientist-Direct Hire
Glendale, AZ · On-site
$74K/yr
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study ...
New
Data Scientist-Direct Hire
Glendale, AZ · On-site
$74K/yr
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study ...
New
Data Scientist-Direct Hire
Mesa, AZ · On-site
$74K/yr
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study ...
New
Data Scientist-Direct Hire
Mesa, AZ · On-site
$74K/yr
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study ...
New
Data Scientist-Direct Hire
Phoenix, AZ · On-site
$74K/yr
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study ...
New
Data Scientist-Direct Hire
Phoenix, AZ · On-site
$74K/yr
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study ...
New
Data Scientist-Direct Hire
Phoenix, AZ · On-site
$74K/yr
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study ...
New
Data Scientist-Direct Hire
Phoenix, AZ · On-site
$74K/yr
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study ...
New
Experience supporting the design, development, or deployment of enterprise data science or ... artificial intelligence solutions * Experience applying artificial intelligence, machine learning ...
Experience supporting the design, development, or deployment of enterprise data science or ... artificial intelligence solutions * Experience applying artificial intelligence, machine learning ...
Data Scientist
Phoenix, AZ · On-site +1
Data science, machine learning, or a similar discipline calls for minimum two to three years of pertinent professional experience. Statistical techniques, data analysis, and model development all ...
New
Data Scientist
Phoenix, AZ · On-site +1
Data science, machine learning, or a similar discipline calls for minimum two to three years of pertinent professional experience. Statistical techniques, data analysis, and model development all ...
New
Our award-winning culture is collaborative, innovative, and science based. If you have a passion ... Data Scientist - Process Modeling What you will do Let's do this. Let's change the world. In this ...
Our award-winning culture is collaborative, innovative, and science based. If you have a passion ... Data Scientist - Process Modeling What you will do Let's do this. Let's change the world. In this ...
... and data science methodologies to workforce and organizational data to generate actionable insights that support talent and business decisions. This role leverages predictive modeling ...
... and data science methodologies to workforce and organizational data to generate actionable insights that support talent and business decisions. This role leverages predictive modeling ...
Weekend Data Science information
What are the key skills and qualifications needed to thrive as a Weekend Data Scientist, and why are they important?
What is a Weekend Data Science job?
What are some typical challenges faced by data scientists working specifically on weekends, and how can they be managed?
What is the difference between Weekend Data Science vs Part-Time Data Analyst?
| Aspect | Weekend Data Science | Part-Time Data Analyst |
|---|---|---|
| Credentials | Typically requires a degree in data science, statistics, or related field | Often requires a degree or relevant experience in data analysis or related fields |
| Work Environment | Project-based, flexible hours, often remote or on-site during weekends | Flexible hours, may be remote or on-site, often with less technical complexity |
| Industry Usage | Used in tech, finance, healthcare, and startups for specialized projects | Common in retail, marketing, and small businesses for routine data tasks |
Weekend Data Science roles focus on complex data projects requiring advanced skills, often during weekends, while Part-Time Data Analysts handle routine data tasks with less technical depth, offering flexible schedules. Both roles serve different needs but share a focus on data work outside standard hours.

Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 26 days ago
Republic Services rating
7.3
Based on 563 frontline employees who took The Breakroom Quiz
27th of 73 rated recycling and waste
Job description
POSITION SUMMARY: Data Scientist III specializing in Generative AI and agentic architectures, with proven experience building and scaling end-to-end RAG solutions and autonomous AI agents, while embedding Responsible AI practices across model development, deployment, and governance.
The Data Scientist III drives internal data analytics projects. Projects will vary from short explorations of our data to longer-term implementations of advanced predictive and machine learning models. The Data Scientist III constantly explores our existing data while seeking out new data to consume.They apply analytical and data science methods to real world datasets to solve ongoing business problems. The Data Scientist III effectively communicates both technical and analytical concepts across all levels of the organization, and they influence the roadmap and decision-making through presentation of data-based recommendations .
PRINCIPAL RESPONSIBILITIES:
Builds robust Agentic AI and RAG applications using Responsible AI practices across model development, deployment and governance.
Performs time-series analyses, hypothesis testing, and causal analyses to statistically assess relative impact and extract trends across all relevant functional areas.
Researches and resolves data inquiries and requests.
Provides insights and serves as a subject matter expert for department data.
Documents requirements for data science and reporting projects.
Supports the development of standard data analyses, reports, and dashboards.
Collaborates with other teams to gather data and build relationships.
Transforms data into actionable insights and recommendations.
Designs experiments and interprets the results to draw detailed and actionable conclusions.
Builds statistical models to enhance understanding of trends and predicts future performance.
Finds new opportunities and novel applications for our core internal data.
Translates and champions our Machine Learning and advanced analytics capabilities for non-technical audiences.
Participates in end-to-end data science project lifecycle - data mining and exploration, model development and evaluation, solution deployment in production, measurement, and tracking.
Designs, validates, and evaluates solutions using Python, SQL and other programming tools.
Educates and mentors team members on best practices for data analytics including data science techniques, statistical programming languages and packages, and data preparation.
Performs other job-related duties as assigned or apparent.
KNOWLEDGE / SKILLS / ABILITIES:
Proficiency with programming in Python in data science and/or statistical analytics settings.
Proficiency with relational databases and the ability to write SQL queries.
Proficiency with Excel and PowerBI.
Proficiency with cloud computing environments (e.g. AWS).
Proficiency with Snowflake
QUALIFICATIONS:
Master's degree preferred.
5 years of demonstrated experience working with large databases to perform complex analysis.
5 years of demonstrated experience with statistics and multivariate analytical techniques including multivariate regression, logistic regression, cluster analysis, design of experiments, machine learning, and decision trees.
Demonstrated expertise building and deploying machine learning/AI models in a cloud computing environment (e.g., AWS) and/or enterprise IT environment.
Demonstrated expertise with common commercial analytics topics (e.g., pricing optimization, customer segmentation, customer churn/lifetime value, etc.) or operational analytics topics (e.g., logistics analytics, route optimization, maintenance optimization, etc.).
MINIMUM QUALIFICATIONS:
Bachelor's Degree in an analytical field (Mathematics, Computer Science, Information Management, Statistics, Engineering).
5 years of experience with advanced programming in Python or R and SQL, conducting complex statistical analysis and building machine learning algorithms with large databases in cloud computing environments.
Rewarding Compensation and Benefits
Eligible employees can elect to participate in:
Comprehensive medical benefits coverage, dental plans and vision coverage.
Health care and dependent care spending accounts.
Short- and long-term disability.
Life insurance and accidental death & dismemberment insurance.
Employee and Family Assistance Program (EAP).
Employee discount programs.
Retirement plan with a generous company match.
Employee Stock Purchase Plan (ESPP).
Paid Time Off (PTO)
Benefits: https://jobs.republicservices.com/us/en/about-us/benefits
The statements used herein are intended to describe the general nature and level of the work being performed by an employee in this position, and are not intended to be construed as an exhaustive list of responsibilities, duties and skills required by an incumbent so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the Company.
EEO STATEMENT:Republic Services is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, protected veteran status, relationship or association with a protected veteran (spouses or other family members), genetic information, or any other characteristic protected by applicable law. For any concerns relating to Republic Services' commitment to equal opportunity employment, you may contact the AWARE Line at 1-866-3-AWARE-4.ABOUT THE COMPANY
Republic Services, Inc. (NYSE: RSG) is a leader in the environmental services industry. We provide customers with the most complete set of products and services, including recycling, waste, special waste, hazardous waste and field services.Our industry-leading commitments to advance circularity and support decarbonization are helping deliver on our vision to partner with customers to create a more sustainable world.
In 2025, Republic's total company revenue was $16.6 billion, and adjusted EBITDA was $5.3 billion. We serve 13 million customers and operate more than 1,000 locations, including collection and transfer stations, recycling and polymer centers, treatment facilities, and landfills.
Although we operate across North America, the collection, recycling, treatment, or disposal of materials is a local business, and the dynamics and opportunities differ in each market we serve. By combining local operational management with standardized business practices, we drive greater operating efficiencies across the company while maintaining day-to-day operational decisions at the local level, closest to the customer.
Our customers, including small businesses, major corporations and municipalities, want a partner with the expertise and capabilities to effectively manage their multiple recycling and waste streams. They choose Republic Services because we are committed to exceeding their expectations and helping them achieve their sustainability goals. Our 42,000 team members understand that it's not just what we do that matters, but how we do it.
Our company values guide our daily actions:
- Safe: We protect the livelihoods of our colleagues and communities.
- Committed to Serve: We go above and beyond to exceed our customers' expectations.
- Environmentally Responsible:We take action to improve our environment.
- Driven: We deliver results in the right way.
- Human-Centered:We respect the dignity and unique potential of every person.
We are proud of our high employee engagement score of 86. We have an inclusive and diverse culture where every voice counts. In addition, our team positively impacted 5.1 million people in 2024 through the Republic Services Charitable Foundation and local community grants. These projects are designed to meet the specific needs of the communities we serve, with a focus on building sustainable neighborhoods.
STRATEGY
Republic Services' strategy is designed to generate profitable growth. Through acquisitions and industry advancements, we safely and sustainably manage our customers' multiple waste streams through a North American footprint of vertically integrated assets.
We focus on three areas of growth to meet the increasing needs of our customers: recycling and waste, environmental solutions and sustainability innovation.
With our integrated approach, strengthening our position in one area advances other areas of our business. For example, as we grow volume in recycling and waste, we collect additional material to bolster our circularity capabilities. And as we expand environmental solutions, we drive additional opportunities to provide these services to our existing recycling and waste customers.
Recycling and Waste
We continue to expand our recycling and waste business footprint throughout North America through organic growth and targeted acquisitions. The 13 million customers we serve and our more than 5 million pick-ups per day provide us with a distinct advantage. We aggregate materials at scale, unlocking new opportunities for advanced recycling. In addition, we are cross-selling new products and services to better meet our customers' specific needs.
Environmental Solutions
Our comprehensive environmental solutions capabilities help customers safely manage their most technical waste streams. We are expanding both our capabilities and our geographic footprint. We see strong growth opportunities for our offerings, including PFAS remediation, an increasing customer need.
Sustainability Innovation
Republic's recent innovations to advance circularity and decarbonization demonstrate our unique ability to leverage sustainability as a platform for growth.
The Republic Services Polymer Center is the nation's first integrated plastics recycling facility. These innovative sites process rigid plastics from our recycling centers, producing recycled materials that promote true bottle-to-bottle circularity. We also formed Blue Polymers, a joint venture with Ravago, to develop facilities that will further process plastic material from our Polymer Centers to help meet the growing demand for sustainable packaging. We are building a network of Polymer Centers and Blue Polymer facilities across North America.
Our customers are increasingly looking for decarbonization solutions, and we are leveraging our network of landfills to meet that need. Republic is committed to harnessing landfill gas, a natural byproduct of decomposing waste, and converting it to energy. Republic has partnered with renewable gas developers to construct Renewable Natural Gas (RNG) plants at our landfills, expanding beyond the 77 projects we currently have to make progress towards our goal to beneficially reuse 50% more biogas by 2030 (2017 baseline year).
RECENT RECOGNITION
- Barron's 100 Most Sustainable Companies
- CDP Discloser
- Dow Jones Best-In-Class Indices
- Ethisphere's World's Most Ethical Companies
- Fortune World's Most Admired Companies
- Great Place to Work
- Sustainability Yearbook S&P Global
What Republic Services employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Republic Services Landfill
Sourced by ZipRecruiter
Industry
Transportation and warehousing
Company size
11 - 50 Employees
Headquarters location
Lowell, IN, US