Top 117 Data scientist Jobs in Glendale Az

Applied Data Scientist
GitKraken —Scottsdale, AZ
- Full-time
- Remote
- AWS
- Senior level
- Communication skills
- Paid parental leave
- Paid holidays
Quick Apply
Data Scientist II
Scribd, Inc. —Phoenix, AZ
- $118,000 - $150,000 a year
- Full-time
- Computer Science
- Mid-level
- Residential
- Paid parental leave
- Disability insurance
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
Senior Data Scientist - AI Trainer
DataAnnotation —Arizona
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- 3 years
- Flexible schedule
Quick Apply
Quantitative AI Trainer - AI Trainer
DataAnnotation —Tempe, AZ
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
Senior Quantitative Analyst - AI Trainer
DataAnnotation —Arizona
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
Data Scientist - AI Trainer
DataAnnotation —Mesa, AZ
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Senior AI Engineer | LLM | Agentic Platforms
Motion Recruitment —Phoenix, AZ
- $120,000 - $220,000 a year
- Full-time
- Hybrid work
- 8 years
- AWS
- US work authorization
- Paid parental leave
- Health insurance
5d
Data Scientist (AHL)
Achieve —Tempe, AZ
- $140,000 - $160,000 a year
- Full-time
- Hybrid work
- Mid-level
- SQL
- Organizational skills
- Health savings account
- Health insurance
Quick Apply
Principal Data Scientist
Insight Enterprises —Phoenix, AZ
- Remote
- Mentoring
- Senior level
- Communication skills
5d
Sr. Data Analyst, Service Analytics
Lucid Motors —Phoenix, AZ
- $100,800 - $138,600 a year
- Mid-level
- SQL
- Bachelor's degree
- Paid holidays
- Disability insurance
18h
Associate, Digital Finance Transformation - Data Scientist - Private Equity Performance Improvement (OPEN TO ALL US LOCATIONS)
Alvarez & Marsal —Phoenix, AZ
- $90,000 - $130,000 a year
- Full-time
- Mid-level
- SQL
- Travel
- AD&D insurance
- 401(k)
Data Scientist III
Republic Services —Phoenix, AZ
- Full-time
- Computer Science
- 5 years
- Office
- AD&D insurance
- Employee stock purchase plan
14h
Teradata ML Data Scientist With Clear Scape Analytics
Vibotek LLC —Scottsdale, AZ
- Contract
- Remote
- Analysis skills
- Senior level
- Communication skills
Quick Apply
Data Science Analyst
Shamrock Foods Company —Phoenix, AZ
- Evenings as needed
- Computer Science
- Mid-level
- Master's degree
- Profit sharing
- 401(k)
14d
Business Analytics Advisor, Payment Integrity - Cigna Healthcare - Remote
The Cigna Group —Scottsdale, AZ
- $98,200 - $163,600 a year
- Online Application
- Remote
- Azure
- Computer Science
- Office
- Paid holidays
- Health insurance
12d
Student Assistant - Data Science
ASU Enterprise Partners —Scottsdale, AZ
- Part-time
- Hybrid work
- SQL
- Continuous improvement
- Communication skills
- Cell phone reimbursement
TEM Scientist – Automation & Data Workflows
Eurofins USA Material Sciences —Phoenix, AZ
- $115,000 - $130,000 a year
- Full-time
- Hybrid work
- Analysis skills
- Doctor of Philosophy
- APIs
- Wellness program
- 401(k) matching
Quick Apply
Data Scientist II
Master Electronics —Phoenix, AZ
- Full-time
- Computer Science
- Mid-level
- 3 years
- AD&D insurance
- Paid holidays
(USA) Senior, Data Analyst
Walmart —Buckeye, AZ
- $80,000 - $155,000 a year
- Computer Science
- High school
- Engineering
- Paid jury duty
- Disability insurance

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data scientist jobs near glendale az

Applied Data Scientist

GitKraken
Scottsdale, AZ

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Job Details

Full-time

Benefits

Paid parental leave
Paid holidays
Dental insurance
401(k)
Paid time off
Parental leave
Vision insurance
401(k) matching
Pet insurance

Qualifications

AI models
Rapid prototyping
AI use case identification
Go
Automation
Public Cloud
Snowflake
Production systems
Collaboration with product development teams
AWS
Machine intelligence
Model deployment
Decision making
Prototype creation
Data-driven problem-solving
Machine learning (ML) fundamentals
Exploratory data analysis
AI-driven automation
Senior level
TypeScript
Developer tools
Prototypes
Communication skills
Python

Full Job Description

The Company

GitKraken is the developer experience (DevEx) platform of choice for more than 40 million developers and 100,000 organizations globally. Combining built-in AI and powerful workflow orchestration, GitKraken empowers development teams to eliminate unnecessary toil, streamline collaboration, and accelerate productivity. GitKraken’s seamless integrations with leading Git providers, issue tracking tools, and AI solutions make it the most versatile DevEx platform available across desktop, command line, IDE, web, and mobile environments. Discover smarter, faster development at www.gitkraken.com or follow us on LinkedIn.

The Role

At GitKraken, our goal is to help developers and their teams focus, create, and collaborate while minimizing distractions, context switching, and wasted time. Our developer experience platform supports millions of developers across desktop, command line, IDE, browser, web, and mobile.

We’re looking for a pragmatic, startup-minded Senior Machine Learning Engineer or Applied Data Scientist who can take an idea from concept to production. Sometimes that idea will come from the data. Sometimes it will come from the business. In both cases, you’ll be expected to determine what’s possible, identify the fastest credible path forward, and ship solutions that create measurable impact.

This is a high-ownership role for someone comfortable working across data, product, and engineering. You should be able to frame ambiguous problems, explore messy data, build models or heuristics, integrate with production systems, measure outcomes, and iterate quickly. We care about practical impact, traction, and speed of learning. We are not looking for someone who waits for perfect specs or over-polishes a solution before proving it matters.

What You'll Do

Identify high-value opportunities from product, customer, and operational data
Evaluate ambiguous ideas quickly and determine what is feasible, useful, and worth shipping
Identify high-value opportunities from product, customer, and operational data
Build practical 80/20 solutions that create leverage quickly, then refine them based on traction
Own end-to-end execution across data exploration, modeling, experimentation, backend integration, and productization
Partner with engineering, product, design, and leadership to turn rough ideas into shipped capabilities
Use ML, analytics, heuristics, and automation pragmatically rather than forcing a model where one is not needed
Define success metrics, instrument outcomes, and improve solutions based on real-world usage
Help shape how GitKraken uses AI and data to improve developer workflows, team velocity, and product experience

Our Tech Lens

We value strong fundamentals over a rigid checklist and are always open to adopting new technologies, here is a snapshot of our current ecosystem:

Languages: Python (for data/ML execution), alongside Go and TypeScript across our core product and backend environments.
Data & Infrastructure: Snowflake for data warehousing, AWS for cloud infrastructure, and Datadog for monitoring and observability.
AI Ecosystem & DevEx: We live and breathe developer experience. We heavily leverage and build around modern AI development tools and LLMs like Cursor, Claude Code, and Codex to accelerate execution and shape the future of workflows.

What We're Looking For

Deep experience in machine learning, applied AI, or a similarly hands-on product data role at a Senior level
A track record of shipping data or ML-powered capabilities into real products or operational workflows
Comfort moving from messy problem statements to practical execution without a lot of structure
Ability to work across the stack, not just in notebooks
Strong product judgment and a bias toward simple solutions that deliver measurable value
Experience deciding whether a problem is best solved with ML, rules, analytics, automation, or workflow design
Ability to balance speed and rigor, including knowing when “good enough to learn” is the right answer
Strong communication skills and the ability to explain tradeoffs clearly to technical and non-technical partners
Ownership mindset: you don’t wait for perfect specs, and you follow through from idea to impact

Bonus Points

You’ve built and shipped data or ML-powered features, not just analyses
You can prototype quickly and are comfortable refining after launch
You know how to avoid getting buried in edge cases before the core value is proven
You like working in a company with a bias toward action, accountability, and high ownership
You want your work to directly influence product direction and business outcomes

How you'll be rewarded

Excellence — Competitive compensation with annual performance-based pay increases
Balance — Flexible Paid-Time-Off Policy & paid company holidays (chosen by our employees)
Parent life — Generous paid parental leave
Pets — Pet insurance plan (with no exclusions)
Health — Health, dental, and vision insurance with competitive employer cost-sharing
Headquarters — Modern, fully equipped offices designed to maximize productivity in a hybrid environment
Culture — Great Place to Work Certified
Growth — Paid career development opportunities, audiobook subscriptions, and mentorship
Future — 401(k) retirement plan plus company matching
Travel — Company paid domestic trip after your 1-year anniversary & an international trip every 5 years

Quick Apply

Refine Your Search

data scientist jobs in glendale az

Applied Data Scientist

Data Scientist II

Data Scientist

Senior Data Scientist - AI Trainer

Quantitative AI Trainer - AI Trainer

Senior Quantitative Analyst - AI Trainer

Data Scientist - AI Trainer

Senior AI Engineer | LLM | Agentic Platforms

Data Scientist (AHL)

Principal Data Scientist

Sr. Data Analyst, Service Analytics

Associate, Digital Finance Transformation - Data Scientist - Private Equity Performance Improvement (OPEN TO ALL US LOCATIONS)

Data Scientist III

Teradata ML Data Scientist With Clear Scape Analytics

Data Science Analyst

Business Analytics Advisor, Payment Integrity - Cigna Healthcare - Remote

Student Assistant - Data Science

TEM Scientist – Automation & Data Workflows

Data Scientist II

(USA) Senior, Data Analyst

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