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Phd Python Jobs in Spring, TX (NOW HIRING)

PhD related to AI and 5+ years of experience or Master's degree related to AI and 10+ years of ... Preferred Certifications Programming Language/s Certification (SQL, Python, or similar) Knowledge ...

SENIOR MODELING LEAD

Houston, TX · On-site

$145K - $165K/yr

Strong proficiency in Python; familiarity with modern AI/ML frameworks, ML-Ops, and large-scale ... Advanced degree (Master's or PhD) in Statistics, Computer Science, Mathematics, Data Science, or a ...

Advanced Python skills for quantitative analytics, risk engines, data pipelines, and automated ... Master's degree or PhD preferred in a quantitative discipline such as Mathematics, Statistics ...

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Phd Python information

See Spring, TX salary details

$20.5K

$124.6K

$180.2K

How much do phd python jobs pay per year?

As of Jun 24, 2026, the average yearly pay for phd python in Spring, TX is $124,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,300.00 and $146,400.00 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.
What are popular job titles related to Phd Python jobs in Spring, TX? For Phd Python jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Phd Python jobs in Spring, TX look for? The top searched job categories for Phd Python jobs in Spring, TX are:
What cities near Spring, TX are hiring for Phd Python jobs? Cities near Spring, TX with the most Phd Python job openings:

Data Science & Analysis - AI Training - US

Prolific Academic Ltd

Houston, TX • On-site, Remote

$80/hr

Full-time

Posted 25 days ago


Job description

Data Science & Analysis - AI TrainingAbout Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We're looking for Data Scientists and Data Analysts to join our Expert Network to help train and evaluate cutting-edge AI models using real technical expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models.

Researchers looking for your skills tend to pay up to $80 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you'll bring
  • Education: a BS, MS, or PhD in Data Science, Statistics, Mathematics, or a closely related quantitative field.
  • Professional Experience: real-world experience in data analysis, predictive modeling, or machine learning engineering.
  • Technical Rigor: the ability to solve complex statistical problems and interpret high-level data visualizations independently.
  • Analytical Mindset: strong attention to detail with the ability to identify subtle logical fallacies in statistical reasoning or data interpretations.
  • LLM Fluency: significant experience using LLMs to assist with data workflows, with a clear understanding of where these models typically hallucinate or fail.
  • Communication: the ability to explain complex mathematical concepts or data insights clearly and concisely.
  • A PayPal account to receive payment from our clients
What you'll be doing in the role
  • Evaluate LLM Responses: review AI-generated data insights and statistical analysis for accuracy, clarity, and completeness.
  • Fact-Check Technical Claims: use authoritative references to validate mathematical proofs, statistical formulas, and data-driven conclusions.
  • Validate Code & Outputs: execute data-related scripts (e.g., Python/R) to ensure they produce correct results and handle edge cases properly.
  • Annotate Model Performance: identify strengths and weaknesses in how a model reasons through data problems or builds predictive models.
  • Ensure Alignment: verify that model responses follow specific system guidelines and maintain a high standard of professional technical behavior.
Key Technologies
  • Programming: proficiency in Python (Pandas, NumPy, Scikit-learn) or R.
  • Data Querying: advanced SQL for complex data extraction and manipulation.
  • Visualization: experience with tools like Tableau, PowerBI, or Matplotlib/Seaborn.
  • Modeling: deep understanding of Machine Learning frameworks (PyTorch, TensorFlow) and statistical modeling techniques.
Why Prolific is a great platform to join as a Participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

Links to more information on Prolific

Website

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.