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Phd Machine Learning Jobs in New Port Richey, FL

1872 Consulting

Data Scientist (FL)

Tampa, FL · On-site

MS or PhD in mathematics, physics, statistics, machine learning, or related quantitative disciplines * Kubernetes knowledge/experience Interview Process: * 30 minute phone screening * 2 hour coding ...

Maximus

Chief Data Scientist

Tampa, FL · On-site

... machine learning, Natural Language Processing (NLP), computer vision, Large Language Models (LLMs ... Preferred Qualifications and Skills: - PhD in Data Science, Computer Science, AI, Mathematics ...

UAB

SCIENTIST III

Tampa, FL · On-site

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 ...

Lorven technologies

Data Scientist

Tampa, FL · On-site

$130K - $140K/yr

... in Supervised, unsupervised Machine Learning (ML) algorithms, forecasting and inventory ... Master's or PhD in Statistics, CS, or related field (preferred) Job / Role Description: * Lead end ...

All JobsPhd Machine Learning JobsPhd Machine Learning Jobs in New Port Richey, FL

Phd Machine Learning information

See New Port Richey, FL salary details

$12

$20

$27

How much do phd machine learning jobs pay per hour?

As of Aug 5, 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.

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 Scientist (FL)

1872 Consulting

Tampa, FL • On-site

Full-time

Retirement

This job post has expired today. Applications are no longer accepted.

Job description

FL Data Scientist

Striveworks is a leader in Machine Learning Operations for highly regulated industries such as the Department of Defense/U.S. Military. They enable their customers to extract actionable insight from their data at the point of collection and indefinitely in the future with the help of AI/Machine Learning. The product they offer allows their clients to monitor, manage, integrate, visualize, export, and analyze their data to inform decisions and streamline business.

They are looking to double the team that they have currently (about 60 employees) over the next year. They are a startup, and this is a very unique opportunity to join the team in their fastest growing stages.

Location: Tampa, FL

Salary: 190K-240K

Bonus: Annual and performance based

401K Match: n/a

Benefits: Equity - Owners have a history of another startup that turned to IPO in 5 years. The company offers a generous equity plan to be a stakeholder and participate in the company's success.

Position Summary

As a Data Scientist at Striveworks, you'll be challenged - and trusted - on day one to be a core contributor to the projects and direction of the company. In this mission critical work, you will design and lead development cycles for a vertically-integrated data analytics effort from sensor, to platform, to end-user. The company's focus, and your focus, will be on task automation, data analytics, deep learning, computer vision, and natural language processing.

Requirements

  • 2+ years of relevant experience and/or B.S. degree in related discipline
  • Mastery of Python
  • Deep understanding and intuition around machine learning techniques, statistical, and predictive modeling
  • Ability to communicate results with visualizations
  • Active Top Secret Security Clearance

Nice To Haves

  • Knowledge of data pipelines
  • PyTorch
  • MS or PhD in mathematics, physics, statistics, machine learning, or related quantitative disciplines
  • Kubernetes knowledge/experience

Interview Process:

  • 30 minute phone screening
  • 2 hour coding assessment
  • 2 hour interview with team
  • Fly you down to Austin for last step of technical interviews and to speak with the CEO founders (half day)

*Extremely driven, motivated, and humble team of very smart and great people. This job requires someone who is willing, motivated, and excited to collaborate and grow the company.

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About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014

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