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Machine Learning Contract Jobs in Arizona (NOW HIRING)

Develops and evaluates statistical, machine learning, and AI models using appropriate performance ... Furthermore, they do not establish a contract for employment and are subject to change at the ...

Software Engineer I

Chandler, AZ · On-site

$100 - $125/hr

This role combines applied machine learning, data engineering, and analytics engineering, with ... Enforce data contracts and schema stability for downstream ML pipelines. * Implement automated ...

Develops and evaluates statistical, machine learning, and AI models using appropriate performance ... Furthermore, they do not establish a contract for employment and are subject to change at the ...

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay: $50-60/hr We're looking for a Lead ... machine learning models that improve cost, quality, and patient outcomes. Your role · Design ...

Data Science Tutor

Mesa, AZ · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Data Science Tutor

Tucson, AZ · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Data Science Tutor

Glendale, AZ · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Data Science Tutor

Scottsdale, AZ · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Data Science Tutor

Gilbert, AZ · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Data Science Tutor

Chandler, AZ · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Data Science Tutor

Phoenix, AZ · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Showing results 21-40

Machine Learning Contract information

See Arizona salary details

$12

$21

$28

How much do machine learning contract jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for machine learning contract in Arizona is $21.27, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $23.75 per hour, depending on experience, location, and employer.

What is a machine learning contract?

A Machine Learning Contract job is a temporary or project-based role where professionals develop and implement machine learning models for a company. Contractors may work on tasks such as data preprocessing, model training, evaluation, and deployment. These roles are often remote or short-term, allowing companies to hire expertise for specific projects without long-term commitments.

What are the typical responsibilities and workflow for a machine learning contract?

As a Machine Learning Contract professional, you’ll often be brought in to design, build, and deploy machine learning models tailored to a client’s specific challenges, ranging from data preprocessing and exploratory analysis to model selection and performance tuning. You may also be responsible for documenting your work, presenting results to stakeholders, and advising on best practices for model integration. Contract positions frequently involve collaborating remotely with cross-functional teams and meeting project milestones within set timelines. This role is ideal for those who enjoy variety, autonomy, and leveraging their expertise across different industries and datasets.

What are the key skills and qualifications needed to thrive in a machine learning contract, and why are they important?

To thrive as a Machine Learning Contract professional, you need a solid background in programming (Python, R), data analysis, and machine learning algorithms, usually supported by a relevant degree in computer science or a related field. Familiarity with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, as well as experience with cloud platforms like AWS or Azure, is typically required. Strong problem-solving abilities, time management, and effective communication are standout soft skills in contract-based roles. These competencies are crucial for efficiently delivering project-based solutions, collaborating with clients, and staying adaptable to varied organizational needs.

What are the most commonly searched types of Machine Learning jobs in Arizona?

The most popular types of Machine Learning jobs in Arizona are:

What job categories do people searching Machine Learning Contract jobs in Arizona look for?

The top searched job categories for Machine Learning Contract jobs in Arizona are:

What cities in Arizona are hiring for Machine Learning Contract jobs?

Cities in Arizona with the most Machine Learning Contract job openings:

Infographic showing various Machine Learning Contract job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 2% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $44,235 per year, or $21.3 per hour.

Data Scientist I

Republic Services

Phoenix, AZ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Republic Services rating

7.3

Company rating: 7.3 out of 10

Based on 583 frontline employees who took The Breakroom Quiz

36th of 92 rated recycling and waste


Job description

POSITION SUMMARY: The Data Scientist I supports internal AI and analytics initiatives by applying foundational AI, data science, statistical, and programming skills to solve well-defined business problems. The incumbent focuses on building, evaluating, and documenting AI, analytical and machine learning solutions under guidance, while ensuring results are accurate, interpretable, and aligned with business context. The Data Scientist I partners with senior data scientists, analytics engineers, and business stakeholders to translate analytical work into clear insights that inform decision-making.

PRINCIPAL RESPONSIBILITIES:

  • Develops and evaluates statistical, machine learning, and AI models using appropriate performance metrics, with guidance from senior team members, including data cleaning, feature preparation, exploratory data analysis, prompt engineering, LLM-based applications, and model evaluation.

  • Conducts hypothesis testing, time series analysis, and basic causal or experimental analysis to assess impact and identify trends.

  • Transforms analytical results into clear, actionable insights that answer defined business questions.

  • Participates in the end-to-end analytics lifecycle, including analysis, validation, basic deployment support, and measurement.

  • Contributes to maintaining and improving existing analytics solutions and models.

  • Documents solution design, analytical assumptions, data definitions, and limitations in a clear and reproducible manner.

  • Works closely with team members to understand business requests, clarify requirements, and ensure analyses pass practical and operational validation checks.

  • Learns commonly used AI and analytic techniques and how they are applied to Republic Services business challenges.

  • Performs other job-related duties as assigned or apparent.

QUALIFICATIONS:

  • Skilled at programming in Python in data science, AI, and statistical analysis settings.

  • Proficient with relational databases and the ability to write SQL queries.

  • Preferred experience working with cloud-based data platforms and infrastructure, such as Snowflake and AWS, to support analytics, AI, and data science workflows.

  • Familiarity with version control (Git) and basic collaborative development practices.

  • Familiarity with AI-based coding assistants like GitHub CoPilot, Cursor, Claude Code.

  • Knowledge of Excel and PowerBI.

  • Master's degree in an analytical field (Mathematics, Computer Science, Information Management, Statistics, Engineering) - preferred.

MINIMUM REQUIREMENTS:

  • Bachelor's Degree in an analytical field (Mathematics, Computer Science, Information Management, Statistics, Engineering).

  • 1 year of experience with advanced programming in Python and SQL, conducting complex statistical analysis and building machine learning algorithms or AI applications with large databases.

  • 1+ years of experience working with large databases to perform complex analysis.

  • 1+ years of experience with advanced statistical modeling, machine learning methods, and/or AI models.

This is an in-office position. Must reside in the metro Phoenix, Arizona area.

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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