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Phd Python Jobs in Frisco, TX (NOW HIRING)

Pyramid Consulting, Inc

Data Scientist

Plano, TX · On-site

... for API's (python, java, etc.). • Experience working with API's and integrating external data sources. • Financial Services experience. Preferred : • Masters/PhD degree is a plus. • ...

Tiger Analytics Inc.

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field ... Proficiency in programming languages such as Python and familiarity with libraries such as ...

Tiger Analytics Inc.

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field ... Proficiency in programming languages such as Python and familiarity with libraries such as ...

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Phd Python information

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$21.5K

$131K

$189.5K

How much do phd python jobs pay per year?

As of Jun 27, 2026, the average yearly pay for phd python in Frisco, TX is $131,004.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $154,000.00 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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Phd Python jobs near you
Senior Data Scientist - Operation Research

Senior Data Scientist - Operation Research

Tiger Analytics Inc.

Dallas, TX • On-site, Remote

Full-time

Posted 2 days ago

Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.
We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.
We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team.
Key Responsibilities:
  • Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
  • Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG.
  • Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization.
  • Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies.
  • Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement.
  • Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Requirements
  • Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
  • MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
  • Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
  • Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts.
  • Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
  • Ability to apply various analytical models to business use cases
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders.

Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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