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Weekend Data Science Jobs in Arizona (NOW HIRING)

Participates in end-to-end data science project lifecycle - data mining and exploration, model development and evaluation, solution deployment in production, measurement, and tracking * Performs time ...

Participates in end-to-end data science project lifecycle - data mining and exploration, model development and evaluation, solution deployment in production, measurement, and tracking * Performs time ...

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

Master's degree in Data Science, CS, Statistics, Biomedical Informatics, or related field preferred Generous salary and benefits package includes: * Medical, dental, and vision coverage options for ...

Partner with actuarial, product, and analytics teams to set data science goals and objectives and translate business questions into analytical solutions * Collaborate with engineering and analytics ...

The Data Scientist will join a team of other data scientists and analysts in helping develop the ... Bachelor's Degree in computer science, math or related field required * Ideal candidate would have ...

The Data Scientist will join a team of other data scientists and analysts in helping develop the ... Bachelor's Degree in computer science, math or related field required * Ideal candidate would have ...

Data Scientist

Tempe, AZ · On-site

$60K - $100K/yr

About you * BS or BA in data science, computer science, mathematics, statistics, or other related degree. MS degree preferred. * 3+ years of experience. * Must be familiar with industry standard ...

Data Scientist III Location: Washington, DC or Chandler, AZ Terms: Full-time Clearance: Secret ... Master's or PhD in Statistics, Engineering, Computer Science, Economics, or a related quantitative ...

Data Scientist

Phoenix, AZ · On-site

$190K - $269K/yr

Possess a bachelor's degree with 6+ years of relevant experience or master's degree with 5+ years of relevant experience or PhD degree with 3+ years of relevant experience in Computer Science or Data ...

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Weekend Data Science information

What are the key skills and qualifications needed to thrive as a Weekend Data Scientist, and why are they important?

To thrive as a Weekend Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in programming languages such as Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau) is typically required. Excellent time management, problem-solving ability, and effective communication are crucial soft skills for delivering insights on tight weekend deadlines. These skills ensure that data-driven decisions can be made efficiently and accurately, even within limited time frames.

What is a Weekend Data Science job?

A Weekend Data Science job typically refers to a part-time or contract-based data science position where the primary work hours are on weekends. These roles are ideal for students, professionals seeking extra income, or those looking to gain experience in the data science field without committing to a full-time weekday schedule. Weekend data scientists analyze data, build models, and generate insights just like full-time data scientists but with flexible or reduced hours that fit around a weekend schedule.

What are some typical challenges faced by data scientists working specifically on weekends, and how can they be managed?

Data scientists working weekend shifts often encounter challenges such as limited access to colleagues for collaboration or support, since many team members may not be available outside standard business hours. Additionally, urgent issues or data anomalies may require quick, independent problem-solving. Proactive communication with weekday teams, thorough documentation, and setting up clear protocols for handoffs can help manage these challenges and ensure smooth workflow continuity.

What is the difference between Weekend Data Science vs Part-Time Data Analyst?

AspectWeekend Data SciencePart-Time Data Analyst
CredentialsTypically requires a degree in data science, statistics, or related fieldOften requires a degree or relevant experience in data analysis or related fields
Work EnvironmentProject-based, flexible hours, often remote or on-site during weekendsFlexible hours, may be remote or on-site, often with less technical complexity
Industry UsageUsed in tech, finance, healthcare, and startups for specialized projectsCommon 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.

What are the most commonly searched types of Data Science jobs in Arizona? The most popular types of Data Science jobs in Arizona are:
What cities in Arizona are hiring for Weekend Data Science jobs? Cities in Arizona with the most Weekend Data Science job openings:

Data Scientist I

Republic Services

Phoenix, AZ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Republic Services rating

7.3

Company rating: 7.3 out of 10

Based on 536 frontline employees who took The Breakroom Quiz

28th of 71 rated recycling and waste


Job description

POSITION SUMMARY: The Data Scientist I drives internal data analytics projects. The role collaborates with executive leaders to deliver analytical solutions to business problems. Initiatives vary from descriptive analyses to the development and implementation of advanced statistical, machine learning, and AI models. The Data Scientist I effectively communicates both technical and business concepts across all levels of the organization, and they influence decision making through presentation of data-based recommendations.

PRINCIPAL RESPONSIBILITIES:

  • Builds statistical and machine-learning models to enhance understanding of trends and predict future performance

  • Participates in end-to-end data science project lifecycle - data mining and exploration, model development and evaluation, solution deployment in production, measurement, and tracking

  • Performs time-series analyses, hypothesis testing, and causal analyses to statistically assess relative impact and extract trends across all relevant functional areas

  • Transforms data into actionable insights and recommendations

  • Designs experiments and interprets the results to draw detailed and actionable conclusions

  • Researches and resolves data inquiries and requests

  • Documents requirements for data science and reporting projects

  • Designs, validates, and evaluates solutions using R, Python, SQL, and other programming tools

  • Performs other job-related duties as assigned.

KNOWLEDGE / SKILLS / ABILITIES:

  • Proficiency with programming in Python or R in data science and/or statistical analysis settings.

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

  • Proficiency with Excel and PowerBI.

QUALIFICATIONS:

  • Master's degree preferred.

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

  • 1 year of experience with statistics and multivariate analytical techniques including multivariate regression, logistic regression, cluster analysis, design of experiments, machine learning, and decision trees.

MINIMUM QUALIFICATIONS:

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

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

This is an in-office position at our Phoenix, AZ headquarters.

No relocation assistance for this position.

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

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