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Remote Data Scientist Risk Jobs in Phoenix, AZ (NOW HIRING)

Mondo

Data Scientist

Phoenix, AZ · Remote

$65 - $75/hr

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

Achieve

Sr. Data Analyst

Tempe, AZ · On-site +1

Drive improvements in credit performance by finding pockets of low risk consumer where we can ... Qualifications What you'll bring: * 5+ years of experience in data science, quantitative business ...

Achieve

Sr. Data Analyst

Tempe, AZ · On-site +1

$115K - $145K/yr

Drive improvements in credit performance by finding pockets of low risk consumer where we can ... Qualifications What you'll bring: * 5+ years of experience in data science, quantitative business ...

Achieve

Sr. Data Analyst

Tempe, AZ · On-site +1

$115K - $145K/yr

Drive improvements in credit performance by finding pockets of low risk consumer where we can ... Qualifications What you'll bring: * 5+ years of experience in data science, quantitative business ...

Valley Metro, AZ

Risk Management Specialist

Phoenix, AZ · On-site +1

$29.96 - $44.94/hr

... Full-Time Remote Employment: Flexible/Hybrid Job Number: AD01320-1 Division: Legal Department ... supporting data-driven decisions, and managing program resources responsibly. This role may ...

U-Haul

Contact Center Data Analyst

Phoenix, AZ · On-site +1

... remote work. As a Data Analyst, team members will be responsible for evaluating and improving U-Haul's products and services. You will be interacting with multi-disciplinary teams of Data Scientists ...

USAA

Mid-Level Decision Science Analyst

Phoenix, AZ · On-site +1

$93K - $179K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques ...

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All JobsData Scientist Risk JobsRemote Data Scientist Risk JobsRemote Data Scientist Risk Jobs in Phoenix, AZ

Remote Data Scientist Risk information

See Phoenix, AZ salary details

$37.2K

$121.9K

$195.1K

How much do remote data scientist risk jobs pay per year?

As of Jul 25, 2026, the average yearly pay for remote data scientist risk in Phoenix, AZ is $121,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $135,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Data Scientist Risk jobs in Phoenix, AZ? The most popular types of Data Scientist Risk jobs in Phoenix, AZ are:
What are popular job titles related to Remote Data Scientist Risk jobs in Phoenix, AZ? For Remote Data Scientist Risk jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Remote Data Scientist Risk jobs in Phoenix, AZ look for? The top searched job categories for Remote Data Scientist Risk jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Remote Data Scientist Risk jobs? Cities near Phoenix, AZ with the most Remote Data Scientist Risk job openings:
Remote Data Scientist Risk jobs near you
Infographic showing various Remote Data Scientist Risk job openings in Phoenix, AZ as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $121,868 per year, or $58.6 per hour.
Data Scientist

Data Scientist

Mondo

Phoenix, AZ • Remote

$65 - $75/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 9 days ago

Job description

Apply now: Data Scientist , Remote. Start date is ASAP for this 12 Month Contract position.

Job Title: Data Scientist Location/Type: Remote (Candidate must reside in Pacific, Mountain, or Central time zone. Eastern time zone and international candidates will not be considered.)Start Date: ASAPDuration: Contract, 12 MonthsCompensation Range: $65/hr to $75/hrBenefits: Eligible for Health, Dental, Vision, and 401KVisa Sponsorship: Not eligible for visa sponsorship

Job Description:The client is seeking a Data Scientist with deep expertise in Generative AI, agentic architectures, and MLOps to design, build, and scale end to end AI solutions while embedding Responsible AI practices across the full development lifecycle. This role requires hands on MLOps maturity, not just model building, the candidate will own how models move from experimentation into production and stay reliable once they get there.

Job Summary:

  • Design and deploy end to end RAG solutions and autonomous AI agents in cloud and enterprise environments
  • Build and scale machine learning and AI models on cloud platforms, primarily AWS or Azure
  • Develop and maintain MLOps pipelines to support model deployment, monitoring, versioning, and governance
  • Own CI/CD for ML workflows, including automated retraining, model registry management, and rollback procedures
  • Implement model monitoring for drift, performance degradation, and data quality issues in production
  • Apply statistical modeling techniques to solve complex business problems
  • Collaborate with stakeholders across the organization to translate requirements into scalable AI solutions
  • Embed Responsible AI practices across model development, deployment, and governance workflows
  • Contribute across the full development lifecycle, from experimentation through production release

Requirements:

Must Haves:

  • Location: candidate must be based in Pacific, Mountain, or Central time zone. This is a hard requirement, not a preference.
  • Minimum 4 years of experience working specifically as a Data Scientist (title and scope must match, not adjacent titles like Data Analyst or ML Engineer alone)
  • Must currently or most recently hold a Data Scientist title (Data Scientist, Senior Data Scientist, Staff Data Scientist, Principal Data Scientist, etc.). Candidates whose current or most recent role carries a different title (Data Analyst, ML Engineer, Analytics Engineer, etc.)
  • Minimum 3 years of hands on MLOps experience, specifically model deployment, monitoring, and lifecycle management in production environments (not just model development or notebooks)
  • Direct experience with at least one MLOps tooling stack such as MLflow, Kubeflow, SageMaker Pipelines, or Azure ML Pipelines
  • Master's degree in a STEM field
  • 4 years of proficiency in SQL
  • 4 years of proficiency in Python
  • Hands on experience with AWS or Azure cloud platforms
  • Proficiency with Git for version control
  • Strong communication skills with demonstrated ability to work cross functionally with stakeholders

Nice to Haves:

  • Experience with Snowflake for data warehousing and analytics
  • Hands on experience with AWS specifically, in addition to general cloud proficiency
  • Startup or fast paced environment mindset with comfort navigating ambiguity
  • Active personal use of AI tools and familiarity with the evolving AI landscape