1

Data Science Engineer Jobs in Phoenix, AZ (NOW HIRING)

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

... engineering, product and data stakeholders to deliver impactful solutions. This is a mid-level role ... Help ensure data science processes and outputs align with broader team strategies and roadmaps

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... We are seeking an experienced Data Engineer to join our team, specifically focused on building ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... We are seeking an experienced Data Engineer to join our team, specifically focused on building ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... We are seeking an experienced Data Engineer to join our team, specifically focused on building ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... We are seeking an experienced Data Engineer to join our team, specifically focused on building ...

Senior Data Engineer, Predictive Modeling

Tempe, AZ · On-site

$101K - $137K/yr

Our data science and analytics team automates everything Carvana does from modeling consumer ... As a Senior Data Engineer on this team, you'll help architect the technical foundation that makes ...

Senior Data Engineer, Predictive Modeling

Tempe, AZ · On-site

$101K - $137K/yr

Our data science and analytics team automates everything Carvana does from modeling consumer ... As a Senior Data Engineer on this team, you'll help architect the technical foundation that makes ...

Translate business and clinical questions into data science problem statements, develop modeling approaches, validate outputs, and partner with engineering teams to productionize solutions. * Data ...

New

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

... engineering, product and data stakeholders to deliver impactful solutions. This is a mid-level role ... Help ensure data science processes and outputs align with broader team strategies and roadmaps

Showing results 41-60

Data Science Engineer information

See Phoenix, AZ salary details

$43.3K

$126.2K

$172.8K

How much do data science engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data science engineer in Phoenix, AZ is $126,247.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,400.00 and $133,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the data science engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What are the typical daily responsibilities of a data science engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What is a data science engineer?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to implement scalable data solutions.
What cities near Phoenix, AZ are hiring for Data Science Engineer jobs? Cities near Phoenix, AZ with the most Data Science Engineer job openings:
Infographic showing various Data Science Engineer job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 9% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $126,247 per year, or $60.7 per hour.

Senior Software Engineer II (TASER Data Science)

Axon

Scottsdale, AZ • On-site

$123K - $162K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Axon rating

8.8

Company rating: 8.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

14th of 156 rated electronics manufacturers


Job description

Join Axon and be a Force for Good.
At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.
Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.
Your Impact
Law enforcement agencies need training systems informed by real data about how officers perform in the field. We've spent the last few years collecting that data and validating the data products that create actionable insights that trainers can use to make encounters more effective, less injurious, and safer for everyone involved. We've shipped the simple models, but now we need to get our customer-validated models into production. Your job is not just to ship them, but to ensure that we have a strategic pipeline to continue delivering data products for our customers for years to come. What works in research needs to be production-grade, reliable, and reusable.
We're a small, technically deep team embedded in Axon's TASER pillar. Our work spans hardware telemetry and behavioral science - we analyze TASER device data, build models that drive training recommendations for law enforcement agencies, and ship the analytical tools that get those insights to the people who can act on them. Our analyses reach the C-suite. Our models become user-facing features. We're working toward Axon's Moonshot: reduce fatal officer-involved shootings by 50% in the next decade.
The head of product was a Staff Engineer. Our TPM ran a 60-person engineering organization. Both product managers have quantitative degrees - applied mathematics and engineering. Our program manager for TREND is a former state police lieutenant with over 30 years of experience in law enforcement. Our designer is part of the team, not separated from it. We built this team to cover the full space - engineering, data, product, and domain - and this hire is the next deliberate addition.
This is the opposite of a silo - and it comes with a tradeoff: you won't always have another SWE in the room, so you'll need to be technically self-sufficient. What you get in return is a team with more depth of experience per person than most engineering environments you've worked in.
What You'll Do
Location: This role is based out of one of our US-based offices (Seattle or Scottsdale) and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation.
Reports to: Director, TASER Data Science
  • Build and ship data products: dashboards, metrics systems, and recommendation tools that drive real decisions
  • Own production ML deployment - bring models from research to reliable production systems with monitoring, versioning, and operational rigor
  • Build and own data pipelines from TASER device telemetry through to analytics surfaces used by agencies and internal stakeholders
  • Set technical direction for the team's engineering practices - the data scientists here write code and want to do it better; you'll be the senior engineering voice they've been missing
  • Work across the full stack - device-side data ingestion through user-facing analytics - and move between projects to build breadth
  • Use AI tools as a core part of your development workflow, not a novelty

What You Bring
Must-haves:
  • You write production code at a high standard - strongly typed, comprehensively tested, designed for the people who will maintain it after you. We write Python like software engineers, not data scientists.
  • You've deployed and operated ML systems in production: model serving, monitoring, failure handling, and the operational rigor that keeps them running
  • You identify the most important technical work and go after it - you've shaped technical roadmaps, influenced peers and organizational direction, and moved goals forward with or without explicit direction
  • You define the problem as much as you solve it - you thrive in a team where requirements evolve as you learn, and you see that as a feature, not a bug
  • You've worked with real-world messy data: device logs, behavioral data, event streams, or similar

Strong preferences:
  • Advanced degree in a quantitative or analytical field - PhDs are very welcome, we already have three
  • Intellectual background outside computer science is genuinely valued here: statistics, physics, engineering, biology, economics, linguistics, philosophy - it doesn't have to be a "hard science." We hire for intellectual diversity because it makes the work better.
  • Hands-on experience with ML production tooling: model registry, serving infrastructure, pipeline orchestration, and model monitoring
  • Experience with cloud data platforms in an ML context (Azure ML, Databricks, Snowflake) and batch or streaming pipeline architecture
  • Experience with hardware-adjacent data: device telemetry, IoT event logs, or similar

Benefits that Benefit You
  • Competitive salary and 401k with employer match
  • Discretionary paid time off
  • Paid parental leave for all
  • Medical, Dental, Vision plans
  • Fitness Programs
  • Emotional & Mental Wellness support
  • Learning & Development programs
  • Employee Resource Groups (ERGs)
  • And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.
Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.
Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you're excited about this role and our mission to Protect Life but your experience doesn't align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Important Notes
The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.
Some roles may also require legal eligibility to work in a firearms environment.
We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.
Axon's mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.
We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent - regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances - and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.
Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at https://www.axon.com/careers. If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.

What Axon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom