Scientist Jobs in Phoenix, AZ
Scientist jobs in Phoenix are concentrated in biomedical research, semiconductor manufacturing, and environmental testing, with activity anchored in the Deer Valley corridor, Tempe, and the downtown medical district. Employers hiring right now include Mayo Clinic, Tenet Healthcare, and Phoenix Children's. Find a role that fits below and apply directly.
Find Scientist JobsOverview
Open roles44
Top employerMayo Clinic
Work type64% On-site
Top credentialMedical Laboratory Scientist Certification
Companies hiring28
Showing 5 of 44+ Scientist jobs
Data Scientist II
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New 20h ago
Master Electronics
Data Scientist II
Phoenix, Arizona
New 20h ago
Staff Scientist, Chemistry – Full Time
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Added 1d ago
ARIZONA SCIENCE CENTER
Staff Scientist, Chemistry – Full Time
Phoenix, Arizona
Added 1d ago
Senior Data Scientist
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Added 1d ago
CVS Health
Senior Data Scientist
Phoenix, Arizona
Added 1d ago
Principal Data Scientist- Integrated Supply Chain
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Added 3d ago
Honeywell Aerospace
Principal Data Scientist- Integrated Supply Chain
Phoenix, Arizona
Added 3d ago
Human Factors Lead Research Scientist
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Added 3d ago
Honeywell Aerospace
Human Factors Lead Research Scientist
Phoenix, Arizona
Added 3d ago
New 20h ago
Data Scientist II
Master Electronics·Phoenix, Arizona
Job functions:
On-Site
Bachelor's degree
501-1,000 employees
Job Description
To be a family that uses our collective superpowers to do significant good.:
As a Data Scientist, you'll be a key contributor in designing, building, and evaluating data-driven decision systems, with a strong emphasis on pricing optimization, experimentation (A/B testing), and causal analysis that directly influence product and business outcomes.
What you will do?:
What you bring to the table!:
If you want to learn more about our comprehensive benefits, visit: https://careers.masterelectronics.com/benefits-wellness
Equal Opportunity Employer:
Master Electronics has an exciting career opportunity for a Data Scientist.
As a Data Scientist, you'll be a key contributor in designing, building, and evaluating data-driven decision systems, with a strong emphasis on pricing optimization, experimentation (A/B testing), and causal analysis that directly influence product and business outcomes.
What you will do?:
- Design, build, and refine pricing and optimization models, including dynamic pricing, price elasticity estimation, margin optimization, and demand forecasting, that directly drive revenue and profitability decisions
- Own the experimentation lifecycle: design and run A/B and multivariate tests, define success metrics and guardrails, determine sample sizes and test duration, analyze results with statistical rigor, and communicate causal impact to stakeholders
- Apply causal inference techniques (uplift modeling, difference-in-differences, synthetic controls, instrumental variables) where randomized experiments aren't feasible
- Translate business problems into ML solutions; build models for prediction, classification, or recommendation; implement feature engineering, model training, hyperparameter tuning, evaluation, and deployment
- Develop scalable data pipelines on Databricks; integrate experimentation and ML systems with modern data and MLOps platforms (Databricks, MLflow); establish CI/CD pipelines, version control, testing, and monitoring to ensure model quality and reliability
- Partner with software engineers, data engineers, product managers, and subject-matter experts; present insights and recommendations to technical and non-technical stakeholders; translate complex analyses into clear narratives
- Research and apply emerging ML techniques; contribute to improving team standards and mentoring junior team members
What you bring to the table!:
- 3-5 years of professional experience as a data scientist or ML engineer, with a proven record of buildingand deploying ML models in production
- Hands-on experience with pricing, revenue, or marketing optimization, such as price elasticity modeling,dynamic pricing, promotion optimization, or mathematical optimization methods
-
Demonstrated expertise in A/B testing and experimentation: hypothesis design, power analysis, sequentialtesting, guardrail metrics, and interpreting results under real-world constraints (novelty eff ects,interference, heterogeneous treatment eff ects)
Hands-on Databricks experience for building and deploying data science workloads at scale - Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or arelated quantitative fi eld, or a Bachelor's degree with 5+ years of equivalent professional experience
- Strong programming skills in Python (plus experience in JavaScript), with profi ciency in ML libraries (scikit-learn, PyTorch), data manipulation (pandas, SQL), and statistical analysis
- Solid grounding in statistics: hypothesis testing, confi dence intervals, regression, and Bayesian methods
- Knowledge of MLOps tools and cloud platforms, especially Databricks (Spark, MLfl ow), AWS (S3,Redshift, SageMaker), or similar services
- Excellent communication skills; ability to explain complex technical concepts to both technical andbusiness audiences and to collaborate eff ectively across teams
-
Demonstrated ability to work independently on complex problems, manage multiple projectssimultaneously, and deliver results in a fast-paced environment
Preferred Qualifications
- Advanced degree (Master's or PhD) in a relevant fi eld (Statistics, Machine Learning, AI, OperationsResearch, Economics/Econometrics, etc.)
- Experience with B2B or ecommerce pricing, such as quote optimization, contract pricing, or price-listmanagement in a distribution or catalog business
- Familiarity with experimentation platforms (in-house or commercial, e.g., Optimizely, Statsig, GrowthBook)and metric frameworks
- Exposure to industry-specifi c domains such as ecommerce, marketing analytics, risk/fraud, supply chain,or logistics
- Fluency with big data frameworks (Spark, Hadoop), streaming systems, and container/orchestration tools(Docker, Kubernetes)
- Databricks certifi cations (e.g., Machine Learning Associate/Professional)
- Knowledge of model explainability, interpretability techniques, and responsible AI
Stay Healthy: World-class and affordable insurance plans ensure you and your family stay healthy
Secure Your Future: 401(k) match program where you are vested from day-one
Invest in Your Education: Tuition assistance empowers you to further your education and career
Employee Assistance Program (EAP) and other incentives: Access to Perspectives, Healthcare Advocate, Working Advantage Discount Program, and more
Enjoy Work-Life-Harmony: Paid holidays, PTO accrual, Floating Holiday, and supportive personal and parental leave policies
Do Significant Good: Company-sponsored donation match 3 for 1, Volunteer Time Off (VTO) to give back to the community, and Employee Resource Groups
Provide Additional Financial Security: Company-funded and voluntary AD&D Life Insurance for you and your loved ones
If you want to learn more about our comprehensive benefits, visit: https://careers.masterelectronics.com/benefits-wellness
Equal Opportunity Employer:
At Master Electronics, we thrive in a fast-paced, entrepreneurial environment where flexibility, professionalism, and a self-starter mindset aren’t just preferred—they’re essential. Headquartered in sunny Phoenix, AZ, we’re a leading global authorized distributor of electronic components, and have been proudly family-owned for over 50 years.
What’s our secret? It’s simple: strong relationships, responsive service, and genuine added value. These principles have fueled our growth, allowing us to serve hundreds of thousands of customers in close partnership with world-class suppliers across the globe.
We’re also deeply committed to building a workplace where everyone feels respected, supported, and empowered to succeed. Master Electronics is committed to providing equal employment opportunities for all applicants and employees. We do not unlawfully discriminate based on race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, veteran status, marital status, creed, or any other protected characteristic.
We provide reasonable accommodations in compliance with the ADA and other applicable laws, and we strictly prohibit harassment of any kind.
This commitment applies to every part of our workplace—from recruitment and hiring to promotions, training, compensation, benefits, and even company events.
Master Electronics
Data Scientist II
Phoenix, Arizona
New 20h ago501-1,000 employees
Job functions:
On-Site
Bachelor's degree
Job Description
To be a family that uses our collective superpowers to do significant good.:
As a Data Scientist, you'll be a key contributor in designing, building, and evaluating data-driven decision systems, with a strong emphasis on pricing optimization, experimentation (A/B testing), and causal analysis that directly influence product and business outcomes.
What you will do?:
What you bring to the table!:
If you want to learn more about our comprehensive benefits, visit: https://careers.masterelectronics.com/benefits-wellness
Equal Opportunity Employer:
Master Electronics has an exciting career opportunity for a Data Scientist.
As a Data Scientist, you'll be a key contributor in designing, building, and evaluating data-driven decision systems, with a strong emphasis on pricing optimization, experimentation (A/B testing), and causal analysis that directly influence product and business outcomes.
What you will do?:
- Design, build, and refine pricing and optimization models, including dynamic pricing, price elasticity estimation, margin optimization, and demand forecasting, that directly drive revenue and profitability decisions
- Own the experimentation lifecycle: design and run A/B and multivariate tests, define success metrics and guardrails, determine sample sizes and test duration, analyze results with statistical rigor, and communicate causal impact to stakeholders
- Apply causal inference techniques (uplift modeling, difference-in-differences, synthetic controls, instrumental variables) where randomized experiments aren't feasible
- Translate business problems into ML solutions; build models for prediction, classification, or recommendation; implement feature engineering, model training, hyperparameter tuning, evaluation, and deployment
- Develop scalable data pipelines on Databricks; integrate experimentation and ML systems with modern data and MLOps platforms (Databricks, MLflow); establish CI/CD pipelines, version control, testing, and monitoring to ensure model quality and reliability
- Partner with software engineers, data engineers, product managers, and subject-matter experts; present insights and recommendations to technical and non-technical stakeholders; translate complex analyses into clear narratives
- Research and apply emerging ML techniques; contribute to improving team standards and mentoring junior team members
What you bring to the table!:
- 3-5 years of professional experience as a data scientist or ML engineer, with a proven record of buildingand deploying ML models in production
- Hands-on experience with pricing, revenue, or marketing optimization, such as price elasticity modeling,dynamic pricing, promotion optimization, or mathematical optimization methods
-
Demonstrated expertise in A/B testing and experimentation: hypothesis design, power analysis, sequentialtesting, guardrail metrics, and interpreting results under real-world constraints (novelty eff ects,interference, heterogeneous treatment eff ects)
Hands-on Databricks experience for building and deploying data science workloads at scale - Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or arelated quantitative fi eld, or a Bachelor's degree with 5+ years of equivalent professional experience
- Strong programming skills in Python (plus experience in JavaScript), with profi ciency in ML libraries (scikit-learn, PyTorch), data manipulation (pandas, SQL), and statistical analysis
- Solid grounding in statistics: hypothesis testing, confi dence intervals, regression, and Bayesian methods
- Knowledge of MLOps tools and cloud platforms, especially Databricks (Spark, MLfl ow), AWS (S3,Redshift, SageMaker), or similar services
- Excellent communication skills; ability to explain complex technical concepts to both technical andbusiness audiences and to collaborate eff ectively across teams
-
Demonstrated ability to work independently on complex problems, manage multiple projectssimultaneously, and deliver results in a fast-paced environment
Preferred Qualifications
- Advanced degree (Master's or PhD) in a relevant fi eld (Statistics, Machine Learning, AI, OperationsResearch, Economics/Econometrics, etc.)
- Experience with B2B or ecommerce pricing, such as quote optimization, contract pricing, or price-listmanagement in a distribution or catalog business
- Familiarity with experimentation platforms (in-house or commercial, e.g., Optimizely, Statsig, GrowthBook)and metric frameworks
- Exposure to industry-specifi c domains such as ecommerce, marketing analytics, risk/fraud, supply chain,or logistics
- Fluency with big data frameworks (Spark, Hadoop), streaming systems, and container/orchestration tools(Docker, Kubernetes)
- Databricks certifi cations (e.g., Machine Learning Associate/Professional)
- Knowledge of model explainability, interpretability techniques, and responsible AI
Stay Healthy: World-class and affordable insurance plans ensure you and your family stay healthy
Secure Your Future: 401(k) match program where you are vested from day-one
Invest in Your Education: Tuition assistance empowers you to further your education and career
Employee Assistance Program (EAP) and other incentives: Access to Perspectives, Healthcare Advocate, Working Advantage Discount Program, and more
Enjoy Work-Life-Harmony: Paid holidays, PTO accrual, Floating Holiday, and supportive personal and parental leave policies
Do Significant Good: Company-sponsored donation match 3 for 1, Volunteer Time Off (VTO) to give back to the community, and Employee Resource Groups
Provide Additional Financial Security: Company-funded and voluntary AD&D Life Insurance for you and your loved ones
If you want to learn more about our comprehensive benefits, visit: https://careers.masterelectronics.com/benefits-wellness
Equal Opportunity Employer:
At Master Electronics, we thrive in a fast-paced, entrepreneurial environment where flexibility, professionalism, and a self-starter mindset aren’t just preferred—they’re essential. Headquartered in sunny Phoenix, AZ, we’re a leading global authorized distributor of electronic components, and have been proudly family-owned for over 50 years.
What’s our secret? It’s simple: strong relationships, responsive service, and genuine added value. These principles have fueled our growth, allowing us to serve hundreds of thousands of customers in close partnership with world-class suppliers across the globe.
We’re also deeply committed to building a workplace where everyone feels respected, supported, and empowered to succeed. Master Electronics is committed to providing equal employment opportunities for all applicants and employees. We do not unlawfully discriminate based on race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, veteran status, marital status, creed, or any other protected characteristic.
We provide reasonable accommodations in compliance with the ADA and other applicable laws, and we strictly prohibit harassment of any kind.
This commitment applies to every part of our workplace—from recruitment and hiring to promotions, training, compensation, benefits, and even company events.
See All 44 Scientist Jobs in Phoenix
Find roles in Phoenix that match your experience and apply in just a few clicks.
Find Scientist JobsScientist Job Market in Phoenix
Who's Hiring
Top Industries Hiring
- Healthcare & Medical Services
- Consulting & Professional Services
- Energy
- Retail
- Education
Scientist Jobs in Phoenix: Frequently Asked Questions
How do I get a scientist job in Phoenix?
Target the sectors hiring most heavily in Phoenix: biosciences and clinical research tied to the Banner Health and HonorHealth networks, semiconductor and advanced materials work concentrated in Chandler and Deer Valley, and environmental and water-quality science tied to municipal and utility clients. Candidates with hands-on lab experience and familiarity with regulated environments move fastest in this market, and proximity to Arizona State University's research network gives applicants useful local connections.
Which companies hire scientists in Phoenix?
Employers hiring scientists in Phoenix right now include Mayo Clinic, Tenet Healthcare, and Phoenix Children's, based on current listings on Migrate Mate as of July 2026. Phoenix's hiring base mixes large health systems, semiconductor fabs, contract research organizations, and environmental consulting firms with a growing cluster of clinical-stage biotech companies.
Are there remote scientist jobs in Phoenix?
Yes, though availability depends heavily on the discipline: hands-on bench, field, and manufacturing roles are almost entirely on-site, while data science, computational biology, and regulatory affairs positions are far more remote-friendly. About 36% of scientist openings tied to Phoenix are remote or hybrid as of July 2026, skewing toward analytical and desk-based functions. Hybrid arrangements are most common at tech-adjacent firms and larger health systems in the metro.
How can I get a scientist job in Phoenix with little or no experience?
The most realistic entry path in Phoenix is through contract or temp-to-hire lab technician roles with contract research organizations and clinical labs affiliated with the Banner or Dignity Health networks. Entry-level environmental field technician positions at utility and municipal contractors are another accessible starting point. A relevant degree from Arizona State University carries real weight with local employers, and internship experience from ASU or Maricopa Community Colleges labs helps candidates stand out for junior openings.
Which industries hire the most scientists in Phoenix?
The sectors hiring the most scientists in Phoenix are Healthcare & Medical Services, Consulting & Professional Services, and Energy, based on current listings on Migrate Mate as of July 2026. Phoenix's rapid population growth, its status as a major semiconductor manufacturing hub, and the scale of its hospital and health system infrastructure combine to sustain consistent scientist demand across those fields.
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