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Phd Python Jobs in Phoenix, AZ (NOW HIRING)

ASM

Snr Engineer, Systems Engineering

Phoenix, AZ · On-site

Program and deploy control software for robotic platforms and embedded controllers (C/C++, Python ... PhD with 4+ years. * Proven expertise in control systems, including PID tuning, kinematics, and ...

ASM

Senior Process Engineer, Productivity

Phoenix, AZ · On-site

$103K - $133K/yr

Master's or PhD Degree in Chemical Engineering, Materials Science, Chemistry, Physics, Mechanical ... Statistical analysis and script writing in Python, Matlab, or similar is a plus. * Ability to ...

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How much do phd python jobs pay per year?

As of Jun 18, 2026, the average yearly pay for phd python in Phoenix, AZ is $138,979.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,700.00 and $163,300.00 per year, depending on experience, location, and employer.

What high paying jobs can I get with a PhD?

A PhD in Python can lead to high-paying roles such as data scientist, machine learning engineer, AI researcher, or quantitative analyst, often requiring advanced programming, statistical skills, and experience with tools like TensorFlow or PyTorch. These positions typically offer salaries above industry average, especially in technology, finance, and research sectors.

Can I do PhD in Python?

A PhD in Python typically refers to research involving the Python programming language, often in computer science or data science fields. While there is no formal PhD in Python itself, students can pursue doctoral degrees in related areas such as computer science, machine learning, or artificial intelligence, where Python is commonly used as a tool for research and development. These programs usually require a strong background in programming, research skills, and knowledge of relevant concepts like algorithms and data analysis.

What are the key skills and qualifications needed to thrive as a PhD-level Python Developer, and why are they important?

To thrive as a PhD-level Python Developer, you need advanced programming skills in Python, a relevant doctoral degree (typically in computer science, data science, or a related field), and a strong foundation in research methodologies. Experience with scientific computing libraries (such as NumPy, pandas, and SciPy), machine learning frameworks, and version control systems like Git is highly valued. Exceptional problem-solving abilities, clear communication, and the capacity to work independently are crucial soft skills for this role. These skills and qualities are essential for driving innovative research, developing robust code, and effectively collaborating within interdisciplinary teams.

Are Python coders still in demand?

Python developers are currently in high demand across various industries due to its versatility in data analysis, machine learning, web development, and automation. Skills in frameworks like Django or Flask, along with proficiency in libraries such as Pandas or TensorFlow, enhance employability in this field.

What types of collaborative projects might a PhD with Python expertise typically engage in within a research or industry setting?

PhDs with strong Python skills often work on multidisciplinary projects that require data analysis, machine learning, or automation. They may collaborate with domain experts, data scientists, and software engineers to design experiments, develop analytical tools, or build scalable research prototypes. Collaborative work frequently involves contributing to codebases, sharing insights through data visualization, and participating in regular meetings to align project goals. Such environments foster both technical growth and exposure to diverse fields, supporting career advancement through impactful contributions.

What is the highest paying job in Python?

The highest paying jobs involving Python typically include roles such as Machine Learning Engineer, Data Scientist, and Quantitative Analyst, especially in finance and technology sectors. These positions often require advanced skills in algorithms, data analysis, and experience with frameworks like TensorFlow or PyTorch, and they can offer salaries exceeding $150,000 annually depending on experience and location.

What is a PhD Python developer?

A PhD Python developer is a professional who has earned a Doctor of Philosophy (PhD) degree and specializes in using the Python programming language for research, data analysis, software development, or academic projects. These individuals often work in fields like data science, machine learning, scientific computing, or academia, where complex problem-solving and advanced analytical skills are required. Their expertise in both research methodologies and Python allows them to tackle sophisticated computational tasks and contribute to cutting-edge innovation.
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What job categories do people searching Phd Python jobs in Phoenix, AZ look for? The top searched job categories for Phd Python jobs in Phoenix, AZ are:
Phd Python jobs near you
Infographic showing various Phd Python job openings in Phoenix, AZ as of June 2026, with employment types broken down into 11% Internship, 72% Full Time, 11% Part Time, and 6% Temporary. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $138,979 per year, or $66.8 per hour.
Senior Data Scientist with Security Clearance

Senior Data Scientist with Security Clearance

MANTECH

Chandler, AZ

Other

Posted 24 days ago

ManTech rating

8.8

Company rating: 8.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

32nd of 191 rated software companies

Job description

MANTECH is seeking a motivated, career, and team-oriented Senior Data Scientist to support a DHS customer in Chandler, AZ OR the National Capital Region. As part of this mission, you will help the organization maintain its prestigious designation as a Cybersecurity Service Provider (CSP) and Center of Excellence (COE). Our team manages a global footprint of 53,000+ nodes across complex cloud environments, generating a rich, high-velocity telemetry stream. You'll have the unique opportunity to engineer features across the entire Cyber Kill Chain, building ML-driven defenses to neutralize APTs. From implementing Zero Trust logic to preparing for Post-Quantum Cryptography, you will transform terabytes of raw network data into proactive, automated security intelligence. Responsibilities include but not limited to: * Design technical solutions for predictive risk analysis and risk mapping.
  • Develop machine learning algorithms for User & Entity Behavior Analytics (UEBA).
  • Engineer automated workflows to merge disparate data sources.
  • Utilize data-driven insights to model the Cyber Kill Chain, predicting the next moves of Advanced Persistent Threats
  • Design and maintain algorithmic risk-scoring engines that prioritize security alerts
Create data models to determine the impact of cyber incidents. Minimum Qualifications: Master's or PhD in a quantitative field (e.g., Statistics, Computer Science).
  • 5+ years of machine learning engineering or data science experience.
  • Certified Analytics Professional (CAP) certification.
  • Proven experience working with complex cloud environments in AWS, Azure, GCP, or Oracle.
Strong written and analytic skills Preferred Skills: Proficiency in Python, JSON, C++, or Java and containerization (Kubernetes/Docker).
  • Effective communication skills, presenting relevant technical information to government representatives
Experience with post-quantum computing assessment/implementation Clearance Requirements: Must be a U.S. Citizen.
  • Must be able to obtain and maintain a Secret clearance.
Must be able to obtain and maintain an ICE Entry on Duty (EOD) Suitability. Physical Requirements: Must be able to remain in a stationary position 50% of the time.
  • Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers and customers.

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