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Algorithm Scientist Jobs in Arizona (NOW HIRING)

The Data Scientist III drives internal data analytics projects. Projects will vary from short ... algorithms with large databases in cloud computing environments. Rewarding Compensation and ...

The Data Scientist III drives internal data analytics projects. Projects will vary from short ... algorithms with large databases in cloud computing environments. Rewarding Compensation and ...

The Data Scientist III drives internal data analytics projects. Projects will vary from short ... algorithms with large databases in cloud computing environments. Rewarding Compensation and ...

The Data Scientist will join a team of other data scientists and analysts in helping develop the ... Develop processes and algorithms to cleanse/standardize/join disparate data sources * Partner with ...

The Data Scientist will join a team of other data scientists and analysts in helping develop the ... Develop processes and algorithms to cleanse/standardize/join disparate data sources * Partner with ...

The Opportunity As a Senior Data Scientist, you will leverage advanced analytics, machine learning ... Builds and maintains a robust library of reusable, production-quality algorithms and supporting ...

Builds and maintains a robust library of reusable, production-quality algorithms and supporting ... Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks.

The Opportunity As a Senior Data Scientist, you will leverage advanced analytics, machine learning ... Builds and maintains a robust library of reusable, production-quality algorithms and supporting ...

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Showing results 1-20

Algorithm Scientist information

See Arizona salary details

$48.6K

$107.3K

$132.2K

How much do algorithm scientist jobs pay per year?

As of Jul 8, 2026, the average yearly pay for algorithm scientist in Arizona is $107,344.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,900.00 and $131,700.00 per year, depending on experience, location, and employer.

What degree do you need to be an algorithm engineer?

Algorithm scientists typically hold at least a bachelor's degree in computer science, electrical engineering, mathematics, or related fields. Many roles require a master's or Ph.D. for advanced research and development, along with strong programming skills in languages like Python or C++ and knowledge of data structures and algorithms.

Is AI a high paid job?

Algorithm Scientists and other AI-related roles are generally well-paid due to high demand for skills in machine learning, data analysis, and programming. Salaries vary based on experience, location, and industry, but AI jobs often offer competitive compensation compared to other tech roles.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Lead Data Scientist, Machine Learning Director, or Chief Data Officer, with salaries exceeding $150,000 annually and sometimes reaching over $200,000 with experience and advanced skills in areas like deep learning and big data tools. These roles typically require extensive experience, advanced degrees, and expertise in programming, statistical analysis, and data management.

Is 40 too late for data science?

As an Algorithm Scientist, age is not a barrier to entering data science. Many professionals successfully transition into data science roles later in their careers by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Experience, continuous learning, and practical skills are more important than age in this field.

How does an Algorithm Scientist typically collaborate with cross-functional teams during the development process?

Algorithm Scientists frequently work alongside data engineers, software developers, and product managers to design and implement solutions. They are often responsible for communicating complex mathematical concepts in accessible terms to ensure alignment across the team. Regular meetings and code reviews are common, allowing for feedback and rapid iteration. This collaborative environment helps ensure that the algorithms developed are both technically sound and practically viable for real-world applications.

What are Algorithm Scientists?

Algorithm Scientists are professionals who design, analyze, and optimize algorithms to solve complex computational problems. They often work in fields like data science, artificial intelligence, finance, and engineering, developing new methods or improving existing ones for processing data efficiently. Their work involves rigorous mathematics, computer science, and research to ensure algorithms are accurate, scalable, and effective for specific applications. Algorithm Scientists may also collaborate with software engineers to implement their solutions in real-world systems.

What are the key skills and qualifications needed to thrive as an Algorithm Scientist, and why are they important?

To thrive as an Algorithm Scientist, you need a strong background in mathematics, statistics, and computer science, often supported by an advanced degree such as a Master's or Ph.D. in a related field. Proficiency with programming languages like Python or C++, machine learning libraries (e.g., TensorFlow, PyTorch), and experience with data analysis tools are typically required. Strong problem-solving abilities, analytical thinking, and effective communication skills help distinguish top performers in this role. These skills are vital for developing innovative algorithms that solve complex problems, ensuring practical, scalable solutions in technological environments.
What cities in Arizona are hiring for Algorithm Scientist jobs? Cities in Arizona with the most Algorithm Scientist job openings:
Data Scientist III

Data Scientist III

Republic Services

Phoenix, AZ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Republic Services rating

7.3

Company rating: 7.3 out of 10

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

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