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Phd Computer Science Jobs in Dallas, TX (NOW HIRING)

Orion180

Sr Predictive Modeling Scientist

Irving, TX · On-site

PhD in a related quantitative field (Statistics, Data Science, Mathematics, Computer Science, Actuarial Science) Experience: * Demonstrated predictive modeling experience, including 4+ years of ...

Bread Financial

Lead Data Scientist

Frisco, TX · On-site +1

$144K - $250K/yr

Master's Degree or PhD in Statistics, Mathematics, Computer Science, Data Science, Engineering, Economics, or other quantitative fields * Advanced machine learning modeling and/or technical expertise ...

Toyota

Principal Data Scientist

Plano, TX · On-site

Master's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Economics ... A PhD in a related quantitative field * Experience applying data science in product quality ...

Vangard, Inc.

Data Scientist, Specialist

Dallas, TX · On-site

MS or PhD in Computer Science, Machine Learning, Data Science, or a related quantitative field. * 3+ years delivering AI/ML solutions in production environments. * 5+ years of handson Python ...

Targeted Talent

Compiler Tech Lead

Dallas, TX · On-site

$170K - $190K/yr

MS or PhD in Computer Science, Engineering or related field * 10+ years of experience developing optimizing compilers for a variety of architectures * Understanding of advanced optimization ...

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Phd Computer Science information

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$55.9K

$82.2K

$96.9K

How much do phd computer science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for phd computer science in Dallas, TX is $82,214.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,700.00 and $92,500.00 per year, depending on experience, location, and employer.

Is a PhD worth it for computer science?

A PhD in computer science can lead to careers in research, academia, or specialized industry roles requiring advanced expertise. It typically involves several years of study and research, and is valuable for positions that demand deep technical knowledge or innovation. However, it may not be necessary for most industry jobs, which often prioritize skills and experience over advanced degrees.

What are some common challenges faced by PhD computer science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

What is a PhD in computer science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

What are the key skills and qualifications needed to thrive as a PhD in computer science?

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

What jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for research positions, university faculty roles, and advanced roles in industry such as data scientist, machine learning engineer, or AI researcher. These roles often require strong programming skills, knowledge of algorithms, and experience with tools like Python, TensorFlow, or cloud platforms.
What are popular job titles related to Phd Computer Science jobs in Dallas, TX? For Phd Computer Science jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Phd Computer Science jobs in Dallas, TX look for? The top searched job categories for Phd Computer Science jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Phd Computer Science jobs? Cities near Dallas, TX with the most Phd Computer Science job openings:
Phd Computer Science jobs near you
Infographic showing various Phd Computer Science job openings in Dallas, TX as of August 2026, with employment types broken down into 9% Internship, 68% Full Time, 13% Part Time, and 10% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $82,214 per year, or $39.5 per hour.

Senior Data Scientist (NLP and GenAI Specialist)

Morgan Stanley

Richardson, TX • On-site

Full-time

Re-posted 14 days ago

Morgan Stanley rating

8.4

Company rating: 8.4 out of 10

Based on 155 frontline employees who took The Breakroom Quiz

30th of 150 rated financial services

Job description

Job Summary:
Morgan Stanley is a global leader in financial services, and they are seeking a Senior Data Scientist (NLP Specialist) to join their Non-Financial Risk team. This role involves developing and deploying advanced AI models using NLP and Machine Learning to enhance surveillance and compliance monitoring.
Responsibilities:
• Design high-performance systems leveraging cutting-edge techniques including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Agentic AI architecture, and knowledge graph analytics.
• Create GenAI-based solutions to automate manual tasks and drive cost efficiency.
• Conduct research to identify novel methods for enhancing analytical solutions.
• Lead and develop junior data scientists to achieve key business objectives
• Collaborate with Compliance, Legal, Financial Crimes, and IT stakeholders to champion the adoption of new AI/ML/NLP approaches, techniques and capabilities
• Champion innovative approaches to improve detection of suspicious activity.
Qualifications:
Required:
• Master's or PhD degree in Computer Science, Machine Learning, Intelligent Systems, Statistics, Mathematics, Engineering or other highly quantitative fields
• 10+ years of hands-on industry experience in building AI/ML/NLP solutions and applied statistical analysis to solve complex business problems
• Knowledge of software design and system principles and excellent skills in either Python (preferred) or Java
• Experience with AI/ML/NLP software packages such as LangChain, LangGraph, Semantic Kernel, CrewAI, OpenAI SDK, PyTorch, HuggingFace, etc.
• Experience in adhering to Software Development Life Cycle (SDLC) principles include GIT related operations
• Strong problem solving and time management skills
• Excellent written and oral communication skills
• Familiarity with financial markets, especially in Compliance, Non-Financial Risk, and Fraud analytics
• Experience with benchmark creation and evaluation including LLM-as-a-Judge based techniques
• Knowledge of Vector Stores, Linux, SPARQL, and Graph Databases
Company:
Morgan Stanley is a financial services institution that delivers capital management, investment banking, and advisory solutions. Founded in 1935, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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