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Work From Home Data Scientist Machine Learning Jobs in Mesa, AZ

Inherent Technologies

Data Scientist

Chandler, AZ · Remote

Key Responsibilities: - Design and implement advanced machine learning algorithms for time series ... work in a fast-paced environment. - Excellent communication and presentation skills. Preferred ...

Sprouts Farmers Market

Data Scientist

Phoenix, AZ · Remote

Work with IT to implement machine learning models into production * In partnership with IT manage ... Ability to effectively communicate information and respond to questions from groups of peers ...

Sprouts Farmers Market

Data Scientist

Phoenix, AZ · Remote

Work with IT to implement machine learning models into production * In partnership with IT manage ... Ability to effectively communicate information and respond to questions from groups of peers ...

SynergisticIT

Data Scientist

Tempe, AZ · On-site +1

With remote work and global talent pools, even entry-level roles receive hundreds of applications ... Data Scientists & Machine Learning Engineers * Data Engineers * Required & Preferred Skills * Java ...

Norstella

Senior Data Scientist

Phoenix, AZ · Remote

Our deep expertise in machine learning, artificial intelligence, large language models, and ... Experience moving AI from prototype to production-grade services with monitoring, logging, and rate ...

Varsity Tutors

Machine Learning Tutor

Tempe, AZ · Remote

$40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ...

Varsity Tutors

Machine Learning Tutor

Scottsdale, AZ · Remote

$40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ...

Varsity Tutors

Machine Learning Tutor

Phoenix, AZ · Remote

$40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ...

Varsity Tutors

Machine Learning Tutor

Glendale, AZ · Remote

$40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ...

Varsity Tutors

Machine Learning Tutor

Mesa, AZ · Remote

$40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ...

Varsity Tutors

Machine Learning Tutor

Gilbert, AZ · Remote

$40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ...

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Work From Home Data Scientist Machine Learning information

See Mesa, AZ salary details

$37.2K

$121.8K

$194.9K

How much do work from home data scientist machine learning jobs pay per year?

As of May 28, 2026, the average yearly pay for work from home data scientist machine learning in Mesa, AZ is $121,768.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,700.00 and $134,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Work From Home Data Scientist in Machine Learning, and why are they important?

To thrive as a Work From Home Data Scientist in Machine Learning, you need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, typically supported by a relevant degree in computer science, mathematics, or a related field. Proficiency with tools like TensorFlow, scikit-learn, SQL, and cloud platforms such as AWS or Azure, as well as relevant certifications, is highly valued. Strong problem-solving, self-motivation, and effective remote communication skills set outstanding professionals apart. These skills are crucial for designing robust models, collaborating across remote teams, and delivering actionable insights to drive business decisions.

How does working remotely as a Data Scientist specializing in Machine Learning affect team collaboration and project workflow?

As a remote Data Scientist focused on Machine Learning, collaboration is often facilitated through digital communication tools like Slack, Zoom, and version control platforms such as GitHub. Project workflows are typically structured using agile methodologies, with regular virtual stand-ups and sprint reviews to ensure alignment. While remote work offers flexibility, it also requires proactive communication to stay updated on evolving project goals and to coordinate effectively with data engineers, product managers, and other stakeholders. Building strong documentation habits and being responsive during core working hours can help overcome common challenges related to time zone differences or asynchronous work.

What is a Work From Home Data Scientist Machine Learning?

A Work From Home Data Scientist specializing in Machine Learning is a professional who analyzes data and builds predictive models using machine learning techniques, while working remotely. Their responsibilities include collecting, cleaning, and interpreting large datasets, creating algorithms, and communicating findings to help organizations make data-driven decisions. They often use programming languages like Python or R, and collaborate with teams through digital tools. This role allows for flexibility in location and often requires strong self-motivation and communication skills.

What is the difference between Work From Home Data Scientist Machine Learning vs Work From Home Data Analyst?

AspectWork From Home Data Scientist Machine LearningWork From Home Data Analyst
Required SkillsProgramming (Python, R), Machine Learning, Statistical AnalysisData Visualization, Basic Statistical Skills, Excel
CertificationsCertified Data Scientist, Machine Learning CertificationsNone typically required, but certifications like Microsoft Data Analyst are common
Work EnvironmentRemote, collaborative teams, research-focused
Industry UsageTech, Finance, Healthcare, E-commerce

Work From Home Data Scientist Machine Learning roles focus on developing predictive models and advanced algorithms, requiring programming and machine learning expertise. In contrast, Work From Home Data Analyst positions emphasize data interpretation, reporting, and visualization. Both roles are remote-friendly and industry-relevant, but differ in technical depth and scope.

What are popular job titles related to Work From Home Data Scientist Machine Learning jobs in Mesa, AZ? For Work From Home Data Scientist Machine Learning jobs in Mesa, AZ, the most frequently searched job titles are:
What job categories do people searching Work From Home Data Scientist Machine Learning jobs in Mesa, AZ look for? The top searched job categories for Work From Home Data Scientist Machine Learning jobs in Mesa, AZ are:
What cities near Mesa, AZ are hiring for Work From Home Data Scientist Machine Learning jobs? Cities near Mesa, AZ with the most Work From Home Data Scientist Machine Learning job openings:
Work From Home Data Scientist Machine Learning jobs near you

Principal AI Data Scientist

MSR Technology Group

Phoenix, AZ • Remote

Full-time

Posted 13 days ago

Job description


Infomatics is partnered with a large retailer that is hiring a Principal AI Data Scientist on a direct hire/FTE basis near Phoenix, AZ. Can work remote. All applicants must be eligible & willing to be hired on W2.

You will lead various AI efforts involving computer vision, deep learning, and nlp in addition to other machine learning model builds. You will not only work on large scale projects to provide value to the customers but are also routinely involved in building our internal R&D capability to have an edge in the analytics industry. You will lead some of the most strategic and very complex problems.
Duties/Responsibilities:
  • Builds and validates machine learning models of high risk/reward problems utilizing large scale data from multiple data sources and methodologies.
  • Uses machine learning techniques to create data-driven solutions for various business use-cases.
  • Writes programs utilizing existing libraries and methodologies.
  • Interprets, communicates, and presents analytic results to C-Level executives and below.
  • Consistently collaborates with fellow data scientists, data engineers, business partners, project managers, cross-functional teams, key stakeholders, and other domains to drive business value.
  • Leads AI best practice sharing opportunities and knowledge of industry trends and innovations in data science.
  • Leads projects with external partners and vendors to develop solutions to meet business needs while resolving any issues that may arise.
  • Contributes to the organization's data strategy and roadmap.
  • Embeds and drives the organization with the most up-to-date AI methodology.
Qualifications:
  • Master's or PhD degree in a quantitative field with 5+ years of data science experience.
  • Applied expertise in artificial intelligence with experience applying natural language processing, computer vision (image processing), and deep leaning. Need to have the capability to leverage current mature mainstream AI application tools and methodology
  • Proficiency in machine learning with familiarity and actual applications of scikit-learn library machine learning techniques such as decision tree, gradient boosting, XGBoost, etc. for regression, classification, or segmentation problems.
  • Programming expertise in Python with familiarity with cloud environments (AWS, Databricks, etc.)
  • Ability to work with large data sets from multiple data sources
  • Ability to communicate complex analytics concepts and techniques to C-Level executives and below
  • Ability to work collaboratively with other data scientists, data engineers, multiple stakeholders across the business, and with external partners
  • Intellectual curiosity, a passion for data, and a results orientation.