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Remote Data Science Insurance Jobs in Arizona (NOW HIRING)

DataAnnotation

Data Science Consultant

Phoenix, AZ · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Arsenault

(Remote) Data Entry Processor

Phoenix, AZ · Remote

$16.50 - $19.25/hr

About the job (Remote) Data Entry Processor Through our dedicated associates, Arsenault delivers ... vision insurance starting on the first day of employment!! NOTE: This is a Remote position and ...

Sprouts Farmers Market

Data Scientist

Phoenix, AZ · Remote

Overview This is a fully remote opportunity. Sprouts is currently at the beginning of a journey to ... Bachelor's Degree in computer science, math or related field required * Ideal candidate would have ...

Sprouts Farmers Market

Data Scientist

Phoenix, AZ · Remote

Overview This is a fully remote opportunity. Sprouts is currently at the beginning of a journey to ... Bachelor's Degree in computer science, math or related field required * Ideal candidate would have ...

Agile Defense

$85K - $95K/yr

Remote Clearance Level: Secret, Must Have Clearance to Start Required Certification(s): One of the following certifications prior to start date: CEH(P), GMON, GRID, Cloud+, FITSP-O, GCED, GDSA, GSEC ...

USAA

Data Scientist I

Phoenix, AZ · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial ...

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Data Science Consultant

Data Science Consultant

DataAnnotation

Phoenix, AZ • On-site, Remote

$40/hr

Full-time

This job post has expired today. Applications are no longer accepted.

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 experienced quantitative professionals 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, starting at $40+ USD per hour.

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. #datascience #J-18808-Ljbffr

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