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Remote Azure Data Scientist Jobs in Gilbert, AZ (NOW HIRING)

Data Scientist

Phoenix, AZ · Remote

$65 - $75/hr

Senior Data Scientist , Remote. Start date is ASAP for this 12 Month Contract position. Job Title ... Build and scale machine learning and AI models on cloud platforms, primarily AWS or Azure * Develop ...

But remote working in the USA is also fine as long as they can work in PST time zone. Role ... Understanding of cloud platforms (OCI, Azure) and containerization (Docker, Kubernetes)

But remote working in the USA is also fine as long as they can work in PST time zone. Role ... Understanding of cloud platforms (OCI, Azure) and containerization (Docker, Kubernetes)

Hadoop, Azure, etc. * Experience in a professional services or law firm is preferred. Must be adept ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Senior Data Engineer

Phoenix, AZ · On-site +1

$105K - $158K/yr

Collaborate with data science and analytics teams to support machine learning, AI, and advanced ... Azure Data Services, AWS Data Services, or similar platforms. * Strong proficiency in SQL and ...

Senior Data Engineer

Phoenix, AZ · On-site +1

$105K - $158K/yr

Collaborate with data science and analytics teams to support machine learning, AI, and advanced ... Azure Data Services, AWS Data Services, or similar platforms. * Strong proficiency in SQL and ...

Senior Data Engineer

Phoenix, AZ · On-site +1

$105K - $158K/yr

Collaborate with data science and analytics teams to support machine learning, AI, and advanced ... Azure Data Services, AWS Data Services, or similar platforms. * Strong proficiency in SQL and ...

Azure AI Foundry Architect

Scottsdale, AZ · Remote

$64 - $83.25/hr

Remote (Onshore Preferred - 5 days onsite) Employment Type: Contract Domain: Retail About the Role ... Ensure data protection measures are integrated throughout the information lifecycle to safeguard ...

Azure AI Foundry Architect

Scottsdale, AZ · Remote

$64 - $83.25/hr

Remote (Onshore Preferred - 5 days onsite) Employment Type: Contract Domain: Retail About the Role ... Ensure data protection measures are integrated throughout the information lifecycle to safeguard ...

Senior Data Platform Architect

Phoenix, AZ · On-site +1

$63.75 - $85.25/hr

This is a remote position. In this role you would work Monday through Friday normal business hours ... CORE FUNCTIONS 1. Lead the design of complex, multi-domain healthcare solutions using Azure, AWS ...

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Showing results 1-20

Remote Azure Data Scientist information

See Gilbert, AZ salary details

$45.9K

$164.5K

$242.7K

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

As of Sep 4, 2026, the average yearly pay for remote azure data scientist in Gilbert, AZ is $164,491.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,100.00 and $169,500.00 per year, depending on experience, location, and employer.

What is a remote Azure data scientist?

A Remote Azure Data Scientist is a professional who leverages Microsoft Azure’s cloud-based tools and services to analyze data, build machine learning models, and derive insights, all while working from a remote location. They use Azure Machine Learning, Data Lake, Databricks, and other Azure services to manage large datasets, perform predictive analytics, and deploy data-driven solutions. Their work enables organizations to make informed decisions, automate processes, and improve business outcomes without the need for on-site presence.

What are the key skills and qualifications needed to thrive as a remote Azure data scientist?

To excel as a Remote Azure Data Scientist, you need expertise in data analysis, machine learning, statistics, and a strong foundation in computer science, often supported by a degree in a relevant field. Familiarity with Azure Machine Learning, Power BI, Python, and data engineering tools, as well as certifications like Microsoft Certified: Azure Data Scientist Associate, are typically required. Outstanding problem-solving abilities, communication skills, and self-motivation are essential soft skills for collaborating remotely and translating insights into business solutions. These skills ensure you can build effective models, leverage Azure's cloud capabilities, and deliver data-driven results in distributed work environments.

How does a remote Azure data scientist typically collaborate with distributed teams and stakeholders?

As a Remote Azure Data Scientist, collaboration is often facilitated through cloud-based tools, virtual meetings, and shared workspaces like Microsoft Teams and Azure DevOps. You’ll regularly interact with data engineers, software developers, and business analysts to align on data requirements, model deployment, and project goals. Clear communication and documentation are essential, as team members may be in different time zones or departments. Regular sync-ups, agile ceremonies, and shared dashboards help keep everyone on track and ensure that insights are effectively translated into business value.

What is the difference between Remote Azure Data Scientist vs Remote Data Analyst?

AspectRemote Azure Data ScientistRemote Data Analyst
Required CredentialsAzure certifications, data science degrees, programming skillsData analysis certifications, SQL, Excel, basic programming
Work EnvironmentCloud platforms, machine learning models, Azure toolsData visualization, reporting, data querying
Employer & Industry UsageTech, finance, healthcare using Azure cloud servicesBusiness, marketing, finance for data reporting
Common Search & ComparisonYesYes

The Remote Azure Data Scientist focuses on building machine learning models and leveraging Azure cloud services, requiring advanced data science skills and Azure certifications. In contrast, a Remote Data Analyst primarily interprets data, creates reports, and visualizations, often with less emphasis on cloud platforms. Both roles are vital in data-driven industries but differ in technical complexity and tools used.

How much do remote azure data scientists make?

Remote Azure Data Scientists typically earn between $90,000 and $140,000 annually, depending on experience, location, and certifications. Salaries can vary based on industry, company size, and specific skill sets such as proficiency with Azure Machine Learning and Python.

What are popular job titles related to Remote Azure Data Scientist jobs in Gilbert, AZ?

For Remote Azure Data Scientist jobs in Gilbert, AZ, the most frequently searched job titles are:

What job categories do people searching Remote Azure Data Scientist jobs in Gilbert, AZ look for?

The top searched job categories for Remote Azure Data Scientist jobs in Gilbert, AZ are:

What cities near Gilbert, AZ are hiring for Remote Azure Data Scientist jobs?

Cities near Gilbert, AZ with the most Remote Azure Data Scientist job openings:

Infographic showing various Remote Azure Data Scientist job openings in Gilbert, AZ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $164,491 per year, or $79.1 per hour.

Data Scientist

Mondo

Phoenix, AZ • Remote

$65 - $75/hr

Contractor

Medical, Dental, Vision, Retirement

Re-posted 21 days ago


Job description

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, or Central time zone. Eastern time zone and international candidates will not be considered.) Start Date: ASAP Duration: Contract, 6 Months (extension likely) Compensation Range: $65/hr to $75/hr Benefits: Eligible for Health, Dental, Vision, and 401K Visa 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