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Phd Machine Learning Jobs in New Port Richey, FL

Moffitt Cancer Center

Data Scientist III

Tampa, FL · On-site

$108 - $165/hr

... and machine learning to extract structured data, and more. Such work will not only have an ... PhD or Master's degree in Biostatistics, Epidemiology, Statistics, Data Science, or a related ...

New

University of Alabama at Birmingham

SCIENTIST III

Tampa, FL · On-site

$80.30 - $133.30/hr

PhD completed within the last 10 years preferred. * AI/ML Expertise: Deep proficiency with modern machine learning, including deep learning, transformers, graph neural networks, generative models ...

UAB

SCIENTIST III

Tampa, FL

PhD completed within the last 10 years preferred. * AI/ML Expertise: Deep proficiency with modern machine learning, including deep learning, transformers, graph neural networks, generative models ...

JP Morgan Chase

Data Scientist Lead

Tampa, FL

Design, manage, and optimize the workflows involved in preparing data for machine learning model ... Bachelor's degree or MS or PhD in quantitative discipline, e.g. Computer Science, Mathematics ...

JPMorgan Chase & Co.

Data Scientist Lead

Tampa, FL · On-site

Design, manage, and optimize the workflows involved in preparing data for machine learning model ... Bachelor's degree or MS or PhD in quantitative discipline, e.g. Computer Science, Mathematics ...

Next Frontier Capital

Data Scientist Lead

Tampa, FL · On-site

$140 - $200/hr

Design, manage, and optimize the workflows involved in preparing data for machine learning model ... Bachelor's degree or MS or PhD in quantitative discipline, e.g. Computer Science, Mathematics ...

JPMorgan Chase & Co

Data Scientist Lead

Tampa, FL

Design, manage, and optimize the workflows involved in preparing data for machine learning model ... Bachelor's degree or MS or PhD in quantitative discipline, e.g. Computer Science, Mathematics ...

JPMorgan Chase & Co.

Data Scientist Lead

Tampa, FL · On-site

$170 - $230/hr

Design, manage, and optimize the workflows involved in preparing data for machine learning model ... Bachelor's degree or MS or PhD in quantitative discipline, e.g. Computer Science, Mathematics ...

J.P. Morgan

Data Scientist Lead

Tampa, FL

Design, manage, and optimize the workflows involved in preparing data for machine learning model ... Bachelor's degree or MS or PhD in quantitative discipline, e.g. Computer Science, Mathematics ...

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Phd Machine Learning information

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How much do phd machine learning jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for phd machine learning in New Port Richey, FL is $20.33, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $22.69 per hour, depending on experience, location, and employer.

What is a PhD in machine learning?

A PhD in Machine Learning is an advanced doctoral degree focused on developing new algorithms, theories, and applications in the field of machine learning. Graduates typically conduct original research, contribute to academic publications, and often specialize in areas like deep learning, reinforcement learning, or probabilistic modeling. This degree prepares individuals for careers in academia, industry research labs, or leadership roles in tech companies. The program usually involves coursework, comprehensive exams, and the completion of a dissertation based on novel research.

What are the key skills and qualifications needed to thrive as a PhD-level machine learning professional?

To thrive as a PhD-level Machine Learning professional, you need deep expertise in mathematics, statistics, computer science, and advanced machine learning algorithms, typically supported by a doctoral degree. Proficiency with programming languages like Python or R, machine learning frameworks such as TensorFlow or PyTorch, and experience with large-scale data systems are essential. Strong problem-solving skills, critical thinking, and effective communication set outstanding candidates apart by enabling them to tackle complex research challenges and collaborate across teams. These skills and qualities are crucial for driving innovation, publishing research, and developing impactful machine learning solutions.

What are some common challenges faced by PhD-level professionals in machine learning when transitioning from academia to industry roles?

PhD graduates in machine learning often encounter challenges such as adapting to faster-paced project timelines, aligning research with business objectives, and collaborating in multidisciplinary teams. Unlike academia, where projects can be exploratory and long-term, industry roles usually require actionable results within shorter deadlines. Additionally, communicating complex technical ideas to non-technical stakeholders and prioritizing practical solutions over theoretical novelty are key adjustments. However, these challenges also present opportunities for professional growth and broader impact.

What is the difference between Phd Machine Learning vs Data Scientist?

AspectPhd Machine LearningData Scientist
Required CredentialsPhD in Computer Science, AI, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch labs, academia, R&D departmentsBusiness, tech companies, analytics teams
Industry UsageResearch-focused roles, advanced algorithm developmentData analysis, model building, business insights
Common Search/ComparisonYesYes

While both roles involve working with data and algorithms, a Phd Machine Learning typically focuses on research, developing new models, and theoretical work, often in academic or R&D settings. A Data Scientist applies these techniques to solve practical business problems, analyze data, and generate insights in industry environments.

How much does a PhD in machine learning make?

A PhD in machine learning typically earns between $100,000 and $150,000 annually in industry roles, with salaries increasing for senior positions or in high-demand sectors. Academic positions may offer lower salaries but include research funding and teaching responsibilities.

What can you do with a PhD in machine learning?

A PhD in machine learning prepares individuals for advanced roles such as research scientist, machine learning engineer, data scientist, or AI specialist. These roles involve developing algorithms, analyzing large datasets, and applying AI techniques across industries like technology, healthcare, finance, and autonomous systems. Strong programming skills and knowledge of tools like Python, TensorFlow, or PyTorch are essential for these positions.

What cities near New Port Richey, FL are hiring for Phd Machine Learning jobs?

Cities near New Port Richey, FL with the most Phd Machine Learning job openings:

Phd Machine Learning jobs near you
Infographic showing various Phd Machine Learning job openings in New Port Richey, FL as of June 2026, with employment types broken down into 2% As Needed, 32% Full Time, 62% Part Time, 2% Temporary, and 2% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $42,279 per year, or $20.3 per hour.

Data Science & Analytics Technical Lead

Agile Defense

Tampa, FL • On-site

$100 - $130/hr

Other

Re-posted 26 days ago

Job description

About Agile Defense

At Agile Defense we know that action defines the outcome and new challenges require new solutions. That’s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.

Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility—leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation’s vital interests.

Requisition #: 1706

Job Title: Data Science & Analytics Technical Lead

Location: Tampa, FL

Clearance Level: Top Secret / SCI, Must Have Clearance to Start

Job Description
  • Lead the design, development, and deployment of complex machine learning models, statistical analysis, and data mining techniques to solve advanced business problems.
  • Build and improve predictive models for customer behavior, churn prediction, demand forecasting, and other business-critical areas.
  • Conduct advanced exploratory data analysis (EDA) to uncover trends, patterns, and actionable insights from structured and unstructured data sources.
  • Develop and implement algorithms for classification, regression, clustering, natural language processing (NLP), and recommendation systems.
  • Collaborate closely with cross-functional teams, including data engineering, product, and business teams, to define data science objectives and translate them into actionable projects. Communicate technical results, findings, and recommendations to stakeholders at all levels, ensuring data-driven strategies are clearly understood and actionable.
  • Lead efforts in feature engineering, hyperparameter tuning, and model validation to ensure high model accuracy, performance, and robustness. Evaluate and apply cutting‑edge machine learning frameworks, tools, and techniques to optimize workflows and drive innovation.
  • Mentor junior data scientists, providing technical guidance and promoting best practices in data science and machine learning.
  • Work with data engineers to ensure clean, accurate, and accessible data pipelines, ensuring efficient deployment of data products and models.
Education and Background
  • Typically has a Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (master's degree or PhD strongly preferred), and 5+ years of experience in data science, machine learning, or a related role, with a track record of leading successful data science projects, or equivalent relevant work experience; e.g., each year of work experience may be substituted for each year of education required.

Years of Experience: 5+ years

Required Skills
  • The contractor shall identify a Data Science & Analytics Technical Lead by name who shall drive the strategic integration of advanced analytics capabilities across the SOF enterprise. This leadership role is centered on applying scientific methods, algorithms, and systems to transform vast quantities of both structured and unstructured data into actionable insights and essential knowledge for the Head Quarters (HQ) Staff, Service Components, and TSOCs. Have active TS/SCI clearance.
Preferred Skills
  • Five years of experience working in SOF analytical support.
  • Three years experience centrally managing distributed data support teams in SOF organizations HQ echelon.
  • Three years experience with SOF digital capabilities.
  • Three years experience with SOF HQ elements, SOF Service Components HQs, and SOF Theater Special Operations Command.

Working Conditions: General Office Environment

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

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