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Remote Machine Learning Jobs in Goodyear, AZ (NOW HIRING)

Data Scientist

Phoenix, AZ ยท On-site +1

JOB INFORMATION Job Title of Opening: Data Scientist Position is for a Data Scientist (internal title: Technical Project Manager) responsible for the development of NuoData, which is an AI powered

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the

Senior DevOps Engineer (US REMOTE)

Phoenix, AZ ยท Remote

$140K - $170K/yr

Company Overview At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere.

SolidWorks Expert - Remote

Phoenix, AZ ยท Remote

$40 - $130/hr

Job Title: SolidWorks Specialist Job Type: Contractor Location: Remote Job Overview We are seeking experienced SolidWorks Specialists to contribute their expertise to an innovative project at the

Senior Software Engineer (Remote)

Phoenix, AZ ยท Remote

$121K - $160K/yr

The application window is expected to close on: 10/26/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . This is a remote role

Data Scientist

Phoenix, AZ ยท Remote

$65 - $75/hr

Apply now: Senior Data Scientist , Remote. Start date is ASAP for this 12 Month Contract position. Job Title: Senior Data Scientist Location/Type: Remote (Candidate must reside in Pacific, Mountain,

Showing results 41-60

Remote Machine Learning information

See Goodyear, AZ salary details

$24.9K

$41.6K

$86K

How much do remote machine learning jobs pay per year?

As of Sep 13, 2026, the average yearly pay for remote machine learning in Goodyear, AZ is $41,606.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,800.00 and $44,900.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Machine Learning jobs in Goodyear, AZ?

The most popular types of Machine Learning jobs in Goodyear, AZ are:

What cities near Goodyear, AZ are hiring for Remote Machine Learning jobs?

Cities near Goodyear, AZ with the most Remote Machine Learning job openings:

Infographic showing various Remote Machine Learning job openings in Goodyear, AZ as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $41,606 per year, or $20 per hour.

Director, Operations Analytics & Infrastructure

Phoenix, AZ โ€ข On-site, Remote

Prosper
Landscape Care and Maintenance Servicesย โ€ขย 11 - 50 employees

$208K - $258K/yr

Full-time

Posted 17 days ago


Key responsibilities

  • Lead analytics, data science, and systems infrastructure functions to improve operational efficiency.

  • Oversee core software platforms, system architecture, vendor management, and ensure system reliability and compliance.

  • Manage cross-functional partnerships, drive full project lifecycle initiatives, and support front-line agents through operational improvements.


Job description

Your Role In Our Mission 
The Director of Operations Analytics & Infrastructure leads three core functions in Ops: Analytics, Data Science, and Systems Infrastructure. Leading a total team of 24 across 4 direct reports in Phoenix, San Francisco, and remote locations, you will leverage data analytics, AI, and automation to drive business efficiency. Reporting to the VP of Operations, you will oversee core software infrastructure (Zendesk, LiveVox, NICE CXone) while ensuring system reliability, data governance, and regulatory compliance.
How you’ll make an impact
  • Lead Analytics & Optimization: Manage analysts using querying, data modeling, and business intelligence to track performance and find practical efficiency gains across operational teams.
  • Drive Data Science & AI Initiatives: Manage a dedicated Data Scientist in leveraging AI, machine learning, and predictive modeling to automate manual workflows, surface deep operational insights, and unlock business growth opportunities.
  • Architect Core Infrastructure & Manage Vendors: Oversee software platforms (Zendesk, LiveVox, NICE CXone), systems architecture, routing logic, dialer strategy, and IVR workflows. Direct vendor contract negotiations and renewals to ensure platform uptime, agent support, and risk reduction.
  • Partner Cross-Functionally: Work directly with Credit Risk, Verification & Fraud Strategy, and Product & Engineering to identify new growth opportunities and execute operational improvements, policy changes, and system integrations.
    Own the Full Project Lifecycle: Drive initiatives from initial problem statement and hypothesis through data analysis, live testing, and full rollout, collaborating closely with internal partners as needed.
  • Set Metrics, Governance & Compliance: Evaluate existing operational KPIs for relevance and accuracy, define new metrics, establish data governance standards, and maintain strict regulatory compliance (including TCPA dialer compliance).
  • Support Front-Line Agents: Make operational choices that account for front-line workflow realities—reducing software friction, automating manual admin work, and optimizing dialer routing to benefit both staff and customers.
  • Lead & Execute: Demonstrate strong executive presence by mentoring a 24-person distributed team, developing compelling business cases, and building and delivering presentations to executive leadership.
Skills that will help you thrive
  • Education: Bachelor’s degree in Business, Analytics, Computer Science, Data Science, or a related field required; Master’s degree a plus .
  • Experience & Leadership: 10+ years of professional experience in business operations, product management, BI/analytics, data science, or consulting, including 5+ years in a leadership role managing distributed teams (in-office, hybrid, and remote).
  • Planning & Budgeting: Direct experience leading annual budgeting processes, headcount planning, and operational capacity forecasting.
  • Technical & Governance Expertise: Working knowledge of SQL, Python/R, BI tools (Looker, Tableau, Mode), and AI/machine learning concepts to evaluate team architecture, guide models, and set data governance standards (hands-on coding is not required).
  • Systems Architecture & Compliance: Deep experience with contact center platforms, systems architecture, routing logic, dialer strategy, TCPA compliance, IVR workflows, and vendor management (e.g., Zendesk, LiveVox, NICE CXone).
  • Executive Leadership: Proven history of making clear decisions in ambiguous environments and delivering complex projects within compliant, regulated operations.
Interview Process
Our interview process is designed to be transparent, respectful, and positive. Here's what to expect:
  • Recruiter Call: A brief screening to discuss your experience and initial questions.
  • Department Interview: Deeper dive into technical skills and project alignment with the Hiring Manager or team member.
  • Team/Virtual Interview: Meet team members for collaborative discussions, problem-solving, or technical exercises.
    Final Round: Discussion with a department head/executive.
Your roadmap to success
30-Day Plan: Integration & Baseline Audit
  • Team & Workload Assessment: Conduct 1:1s with direct reports and map current projects, support tickets, and team bandwidth across the 24-person team.
  • Systems & Compliance Audit: Review LiveVox dialer strategies, NICE CXone routing logic, Zendesk ticketing workflows, and TCPA compliance to identify immediate workflow delays.
60-Day Plan: Operational Review & Prioritization
  • KPI Assessment: Evaluate operational metrics across Sales, Support, Fraud, and Complaints, and present recommendations to update or replace current KPIs.
  • AI & Vendor Backlog: Build a prioritized list of AI automation projects with the Data Scientist and review vendor contracts ahead of renewal dates.
90-Day Plan: Strategic Execution & Pilot Launch
  • Strategic Roadmap & Budget: Deliver the annual team strategy, including headcount planning, capacity forecasts, and standardized data governance procedures.
  • Pilot Launch: Deploy a process automation or dialer/IVR routing pilot and present initial time and cost savings.
Compensation details: The salary for this position is $208k - $258k annually, plus bonus and generous benefits. In determining your salary, we will consider your location, experience, and other job-related factors.
#LI-AR1
 
 

About Our Operations Team
 
Rooted in our values, Prosper’s Operations team is driven by how we can improve the customer experience, always thinking there must be a better way. If you are looking for a mission driven company with a great culture, check us out! As a Prosper employee, you will have the opportunity to take ownership of your career - we offer learning opportunities and career development plans. Come join a dedicated, diverse community that will help you discover your fullest potential! Are you ready to Prosper? 
 
About Us
Prosper introduced U.S. consumers to an innovative approach to personal finance as the first peer-to-peer lending platform in the country. Since 2005, Prosper has helped over 2 million customers achieve financial well-being through a comprehensive suite of digital personal finance products.
 
Prosper’s flagship personal loan* marketplace continues to offer unique value for both borrowers and investors, while the Prosper® Card¹ provides essential access to credit and flexibility for those managing their financial journey. Guided by its mission to advance financial well-being, Prosper is dedicated to helping people thrive by meeting people where they are with simple, trusted, and affordable financial solutions. Learn more at www.prosper.com.
 
We’re on a mission to hire the very best, and we are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere. It is important to us that every hire connects with our vision, mission, and core values. Join a leading fintech company that’s democratizing finance for all!  
 
Our Values
  • Diversity expands opportunities
  • Collaboration creates better solutions
  • Curiosity fuels our innovation
  • Integrity defines all our relationships
  • Excellence leads to longevity 
  • Simplicity guides our user experience 
  • Accountability at all levels drives results
www.prosper.comOur Story & Team  //   Our Blog 
 
Applicants have rights under Federal Employment Laws.Family & Medical Leave Act (FMLA)Equal Employment Opportunity (EEO)Employee Polygraph Protection Act (EPPA) 
 
California applicants: please click here to view our California Consumer Privacy Act (“CCPA”) Notice for Applicants, which describes your rights under the CCPA.
 
Illinois applicants: please click here to view our Artificial Intelligence Notice for Applicants.
 
At Prosper, we're looking for people with passion, integrity, and a hunger to learn. We encourage you to apply even if your experience doesn't precisely match the job description. Your unique skill set and diverse perspective will stand out and set you apart from other candidates. Prosper thrives with people who think outside of the box and aren't afraid to challenge the status quo. We invite you to join us on our mission to advance financial well-being.Prosper is committed to an inclusive and diverse workplace. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law, including the San Francisco Fair Chance Ordinance. Prosper will consider for employment qualified applicants who are non-US citizens and will provide green card sponsorship.
 
*All personal loans are made by WebBank.
¹The Prosper® Card is an unsecured credit card issued by Coastal Community Bank, Member FDIC, pursuant to license by Mastercard® International.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.