Top 44 Data science manager Jobs in Phoenix Az

Data Science Manager - AI Trainer
DataAnnotation —Scottsdale, AZ
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
9d
AI & Data Decision Science Manager - Utilities
Accenture —Scottsdale, AZ
- $87,400 - $293,800 a year
- Full-time
- Azure
- Management
- Computer Science
- Paid holidays
- Disability insurance
7d
Sr. Manager AI & Data Science
onsemi —Scottsdale, AZ
- Online Application
- Computer Science
- Master's degree
- Databases
Agentic AI and Data Science Engineering Delivery Manager
Deloitte —Tempe, AZ
- $93,200 - $155,400 a year
- Full-time
- Computer Science
- Up to 50% travel
- 5 years
Portfolio Manager - AI Trainer
DataAnnotation —Gilbert, AZ
- $50 - $100 an hour
- Part-time
- Remote
- English
- Master's degree
- Doctor of Philosophy
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Remote Accounting Manager - AI Trainer
DataAnnotation —Mesa, AZ
- $50 - $100 an hour
- Part-time
- Remote
- Mid-level
- Master's degree
- Bachelor's degree
Quick Apply
Remote Accounting Manager - AI Trainer
DataAnnotation —Gilbert, AZ
- $50 - $100 an hour
- Part-time
- Remote
- Mid-level
- Master's degree
- Bachelor's degree
Quick Apply
Senior Business Process Manager- Digital Factory
Viasat, Inc. —Tempe, AZ
- $127,000 - $237,000 a year
- Online Application
- Remote
- Oracle
- Engineering
- 8 years
6d
Industry & Function AI Decision Science Manager
Accenture —Scottsdale, AZ
- $87,400 - $293,800 a year
- Full-time
- Azure
- Management
- Computer Science
- Paid holidays
- Disability insurance
Lead Data Governance Analyst
Circle K —Tempe, AZ
- 7 years
- Azure
- Computer Science
12d
Sr. Mgr - Data Platform, Business Intelligence - Hybrid
Blue Cross Blue Shield of Arizona —Phoenix, AZ
- Full-time
- High school diploma or GED
- SQL
- Analysis skills
Senior Business Process Manager- Digital Factory
Viasat —Tempe, AZ
- $127,000 - $237,000 a year
- Online Application
- Oracle
- Engineering
- 8 years
6d
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
Senior Data Governance Lead
Assetmark —Phoenix, AZ
- $115,000 - $135,000 a year
- Full-time
- Hybrid work
- Computer Science
- 5 years
- Office
- Health savings account
- Health insurance
QRM - Quality Analytics and Enablement Manager - C_MAT
Deloitte —Tempe, AZ
- $116,200 - $229,100 a year
- Full-time
- 6 years
- Finance
- SQL
Managed Services - AI Agent Build & DevOps - Manager
PRICE WATERHOUSE COOPERS —Phoenix, AZ
- $99,000 - $232,000 a year
- Computer Science
- DevOps
- Mid-level
- Paid holidays
- Health insurance
Healthcare Payer AI Decision Science Manager/Senior Manager
Accenture —Scottsdale, AZ
- $87,400 - $293,800 a year
- Full-time
- Azure
- Management
- Computer Science
- Paid holidays
- Disability insurance
Managed Services - AI Agent Build & DevOps - Manager
PwC —Phoenix, AZ
- $99,000 - $232,000 a year
- Full-time
- Computer Science
- DevOps
- Finance
- Paid holidays
- Health insurance
Managed Services - Senior Business Anaylst - Manager
PwC —Phoenix, AZ
- $99,000 - $232,000 a year
- Full-time
- Computer Science
- Java
- Finance
- Paid holidays
- Health insurance
9d
Senior Manager, Data Engineering
Scribd, Inc. —Phoenix, AZ
- $154,500 - $265,000 a year
- Full-time
- Residential
- Continuous improvement
- Mentoring
- Paid parental leave
- Disability insurance

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data science manager jobs near phoenix az

Data Science Manager - AI Trainer

DataAnnotation -
Scottsdale, AZ

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Job Details

Part-time | Full-time | Contract
$50 - $100 an hour
9 days ago

Benefits

Flexible schedule

Qualifications

Software coding
Design of experiments
English
Providing code feedback

Full Job Description

DataAnnotation is committed to creating quality AI. Help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule.

We are looking for an existing Data Science Manager - AI Trainer to help train AI models. 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.

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. You can fit this work alongside a full-time role, or treat it as your primary focus, choosing projects and schedules that align with your availability and goals.

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.

Advantages of contracting with us:

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, on your own computer, from the comfort of your own home.
Competitive pay: projects are paid hourly at $50 to $100 USD per hour, with bonus rates available on some projects.
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:

3+ 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 preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); an advanced degree (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 science manager jobs in phoenix az

Data Science Manager - AI Trainer

AI & Data Decision Science Manager - Utilities

Sr. Manager AI & Data Science

Agentic AI and Data Science Engineering Delivery Manager

Portfolio Manager - AI Trainer

Remote Accounting Manager - AI Trainer

Remote Accounting Manager - AI Trainer

Senior Business Process Manager- Digital Factory

Industry & Function AI Decision Science Manager

Lead Data Governance Analyst

Sr. Mgr - Data Platform, Business Intelligence - Hybrid

Senior Business Process Manager- Digital Factory

Payer Healthcare Data Scientist, Manager

Senior Data Governance Lead

QRM - Quality Analytics and Enablement Manager - C_MAT

Managed Services - AI Agent Build & DevOps - Manager

Healthcare Payer AI Decision Science Manager/Senior Manager

Managed Services - AI Agent Build & DevOps - Manager

Managed Services - Senior Business Anaylst - Manager

Senior Manager, Data Engineering

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