Top 108 data scientist Jobs in glendale, az

Computational Scientist - AI Trainer
DataAnnotation —Peoria, AZ
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
Quantitative AI Trainer - AI Trainer
DataAnnotation —Tempe, AZ
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
AI Engineer Consultant
Deloitte —Tempe, AZ
- $93,000 - $171,300 a year
- Full-time
- Azure
- Oracle
- Computer Science
Data Scientist II
Scribd, Inc. —Phoenix, AZ
- $118,000 - $123,000 a year
- Full-time
- Computer Science
- Mid-level
- Residential
- Paid parental leave
- Disability insurance
Senior Data Analyst
Assetmark —Phoenix, AZ
- $105,000 - $125,000 a year
- Full-time
- Hybrid work
- Computer Science
- Office
- Master's degree
- Health savings account
- Health insurance
Data Scientist, Data & Science Solutions
Caris MPI, Inc. —Phoenix, AZ
- Weekends as needed
- Pass drug screening
- SQL
- Analysis skills
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Data Scientist
AtkinsRéalis —Tempe, AZ
- $60,000 - $100,000 a year
- Full-time
- Hybrid work
- Microsoft Outlook
- Computer Science
- Bachelor of Science
- Employee stock purchase plan
- Disability insurance
Senior Data Analyst
Appcast —Scottsdale, AZ
- $81,000 - $135,000 a year
- Full-time
- Hybrid work
- SQL
- Bachelor's degree
- Travel
Quick Apply
3d
AI/ML Engineer - Computer Vision
Prime Solutions Group, Inc. —Goodyear, AZ
- $110,000 - $180,000 a year
- Full-time
- Azure
- Computer Science
- AWS
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2d
AI Engineer - Entry Level
CANYON STATE ELECTRIC —Tempe, AZ
- $65,000 - $85,000 a year
- Full-time
- Computer Science
- 3 years
- Master's degree
- Paid holidays
- Health insurance
Quick Apply
AI and Data Science Engineer III
Deloitte —Tempe, AZ
- $113,100 - $208,300 a year
- Full-time
- Azure
- Oracle
- Doctoral degree
9d
Forward Deployed Engineer- Agentic AI
Deloitte —Tempe, AZ
- Full-time
- Azure
- Computer Science
- Up to 50% travel
14d
Data Scientist
Capital Insurance Group —Phoenix, AZ
- $91,761 - $152,938 a year
- Full-time
- Hybrid work
- 7 years
- Mid-level
- US work authorization
- Profit sharing
- Commuter assistance
Director, Colleague Data Science & Analytics
American Express —Phoenix, AZ
- $144,250 - $256,250 a year
- Full-time
- Hybrid work
- SQL
- Analysis skills
- US work authorization
- Paid parental leave
- Health insurance
7d
Agentic AI Outcomes Engineer
Expedient —Phoenix, AZ
- $100,000 - $150,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Office
- Disability insurance
- Health insurance
Quick Apply
Senior Data Scientist (Quality Systems)
Intel —Phoenix, AZ
- $140,830 - $198,820 a year
- Full-time
- Engineering
- Master's degree
- SQL
- Health insurance
Senior AI Engineer, Agentic Evaluation & V&V
Slingshot Aerospace —Phoenix, AZ
- $150,000 - $250,000 a year
- Full-time
- Remote
- 6 years
- System design
- Analysis skills
Data Scientist
Lifekind Health —Scottsdale, AZ
- $80,000 - $120,000 a year
- Full-time
- Hybrid work
- HIPAA
- Office
- Master's degree
- AD&D insurance
- Disability insurance
Quick Apply
Payer Healthcare Data Scientist, Manager
PRICE WATERHOUSE COOPERS —Phoenix, AZ
- $99,000 - $232,000 a year
- 6 years
- Computer Science
- Master's degree
- Paid holidays
- Health insurance
Statistical Scientist (M.S. or Ph.D.)
Exponent Inc. —Phoenix, AZ
- Email
- Mid-level
- Office
- SQL
- 401(k)

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data scientist jobs near glendale, az

Computational Scientist - AI Trainer

DataAnnotation -
Peoria, AZ

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Job Details

Part-time | Full-time | Contract
$40 - $60 an hour

Benefits

Flexible schedule

Qualifications

Computational research
Predictive modeling analysis
Software coding
Writing skills
Design of experiments
English
Predictive analytics projects
Providing code feedback

Full Job Description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.

We are looking for an experienced Computational Scientist - AI Trainer to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice. That's where you come in.

As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here. Some team members fit this work alongside a full-time role, while others treat it as their primary focus.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits:

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work.
Competitive pay: projects are paid hourly, up to $60 USD per hour. Opportunities for higher-paying projects are available with strong performance.
Impact: help shape the future of AI systems built to reason about data and analytics.

Responsibilities:

Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.
Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.
Write clear technical explanations and well-documented analytical code.
Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.

Qualifications:

2+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.
Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluency in English (native or bilingual level) with strong writing skills.
A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.
Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Note: Payment is made via PayPal. We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

Quick Apply

Refine Your Search

data scientist jobs in glendale, az

Computational Scientist - AI Trainer

Quantitative AI Trainer - AI Trainer

AI Engineer Consultant

Data Scientist II

Senior Data Analyst

Data Scientist, Data & Science Solutions

Data Scientist

Senior Data Analyst

AI/ML Engineer - Computer Vision

AI Engineer - Entry Level

AI and Data Science Engineer III

Forward Deployed Engineer- Agentic AI

Data Scientist

Director, Colleague Data Science & Analytics

Agentic AI Outcomes Engineer

Senior Data Scientist (Quality Systems)

Senior AI Engineer, Agentic Evaluation & V&V

Data Scientist

Payer Healthcare Data Scientist, Manager

Statistical Scientist (M.S. or Ph.D.)

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