Machine Learning Quantum Computing Jobs in Phoenix, AZ

POSITION SUMMARY:The Data Scientist II independently delivers AI, analytical and data science solutions to complex business problems. The incumbent builds on foundational AI, data science skills and applies deep modeling, diagnostic, and problem-solving capabilities to develop, evaluate, and refine analytical solutions that inform business decisions. The Data Scientist II balances AI and analytical rigor, speed of execution, and solution scalability, while working closely with business partners, senior data scientists, and analytics engineers to ensure solutions are fit for purpose and deliver measurable value.

PRINCIPAL RESPONSIBILITIES:

• Develops, evaluates, and refines statistical, machine learning, and AI models using appropriate performance metrics and diagnostics.

• Supports model and solution monitoring and diagnostics, resolving common modeling issues (e.g., transformations, data limitations, bias, drift, hallucination detection, embeddings, vector search, semantic retrieval, or model assumptions).

• Enhances and scales existing models or analytics solutions to improve performance, maintainability, or business usability.

• Performs hypothesis testing, prompt engineering, time series analysis, and experimentation measurement to assess impact and support data-driven recommendations.

• Works directly with business stakeholders to: clarify requirements, scope analytical approaches, and ensure outputs align with operational and commercial context.

• Translates analytical findings into clear insights that directly answer business questions and inform decisions.

• Interprets common operational, financial, and performance metrics and applies appropriate analytic techniques to uncover insights.

• Clearly communicates analytical results and recommendations to technical and non-technical audiences.

• Partners with analytics engineering and platform teams to ensure analytical solutions integrate appropriately with downstream systems.

• Documents solution design, assumptions, data definitions, and limitations thoroughly to support reuse and transparency.

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

QUALIFICATIONS:

• Strong proficiency in Python for data analysis, modeling, AI, and solution development.

• Strong working knowledge of SQL and relational data concepts.

• Solid understanding of Generative AI, large language models (LLMs), and common enterprise use cases.

• Ability to write well-functionalized, readable code and collaborate using version control (Git).

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

• Experience with common commercial analytics topics (e.g. pricing optimization, customer segmentation, customer churn/lifetime value, etc.), operational analytics topics (e.g. logistics analytics, route optimization, maintenance optimization, etc.) or Customer Experience analytics topics (e.g. Average handle time, containment rate, deflection rate, NPS, customer sentiment, etc).

• 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).

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

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

• 3 years of experience with advanced programming in Python and SQL, conducting complex statistical analysis and building machine learning algorithms or AI applications with large databases in cloud computing environments.

*This position is in-office in Phoenix, AZ and requires residing in Phoenix.
* Required Skills: Advanced programming in Python and SQL, conducting complex statistical analysis and building machine learning algorithms or AI applications 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.

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