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Phd Python Jobs in Florida (NOW HIRING)

Lorven Technologies

Data Scientist

Tampa, FL · On-site

Bring deep ML expertise, strong Python engineering skills, and a nuanced understanding of CPG ... Master's or PhD in Statistics, CS, or related field (preferred) Job / Role Description: * Lead end ...

Lorven technologies

Data Scientist

Tampa, FL · On-site

$130K - $140K/yr

Bring deep ML expertise, strong Python engineering skills, and a nuanced understanding of CPG ... Master's or PhD in Statistics, CS, or related field (preferred) Job / Role Description: * Lead end ...

ManTech International

Data Analyst

Doral, FL · On-site

Proficiency in data analysis tools and languages such as SQL, Python, R, or similar. * Ability to ... Preferred Qualifications: * Master's degree or PhD in Data Science, Information Technology ...

ManTech

Data Analyst

Doral, FL · On-site

Proficiency in data analysis tools and languages such as SQL, Python, R, or similar. * Ability to ... Preferred Qualifications: * Master's degree or PhD in Data Science, Information Technology ...

Pae

Assessment Integrator (SME)

Doral, FL

Proficiency in programming languages like Python and R. * Experience with BI tools such as Tableau ... Graduate degree (MS, PhD, etc.) linked to data analytics (e.g., math, physics, computer science) or ...

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Phd Python information

What Python jobs are in-demand?

Python developers are in high demand across industries such as technology, finance, healthcare, and data science. Common roles include data scientist, machine learning engineer, backend developer, and automation engineer, often requiring knowledge of frameworks like Django or Flask and proficiency in data analysis tools. These positions typically value strong programming skills, problem-solving ability, and experience with cloud platforms and version control systems.

Can we do PhD in Python?

A PhD in Python typically refers to research involving Python programming language, often in fields like computer science, data science, or artificial intelligence. While there is no formal PhD in Python itself, students pursue doctoral degrees in related areas and use Python as a primary tool for research and development. Earning a PhD requires completing original research, coursework, and a dissertation in a relevant field, with proficiency in Python being a valuable skill for data analysis, machine learning, and software development.

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.

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.

Is Python in high demand?

Python is in high demand across many industries, especially for roles involving data analysis, machine learning, web development, and automation. Python developers with skills in frameworks like Django or Flask and experience with libraries such as Pandas or TensorFlow are highly sought after in the job market.

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, often requiring advanced skills in algorithms, statistics, and frameworks like TensorFlow or PyTorch. These positions can offer salaries exceeding $150,000 annually, especially with experience, certifications, and work in finance, tech, or research environments.

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 Florida? For Phd Python jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Phd Python jobs in Florida look for? The top searched job categories for Phd Python jobs in Florida are:
What cities in Florida are hiring for Phd Python jobs? Cities in Florida with the most Phd Python job openings:
Phd Python jobs near you
Junior Machine Learning Engineer

Junior Machine Learning Engineer

ENSCO, Inc.

Melbourne, FL • On-site

Other

Re-posted 22 days ago

Job description

ENSCO, Inc. is seeking a Junior Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks, architectures, pipelines, and advanced data analytics, to address difficult problem sets.  Work closely with other senior scientist to understand problem sets, physical data feature sets and parameters.  The successful candidate must have demonstrated understanding of signal processing, data fusion, feature extraction, and be able to apply it towards ML and DL solutions.  Assess algorithm performance of features by building datasets and designing and executing well-controlled experiments.
ENSCO's Mission Systems Group (MSG) provides innovative customized products and services vital to national safety and security.  A primary focus area is the development of advanced algorithm development and integration for multipurpose data sets.
 

Qualifications Required:
        Bachelors degree in Machine Learning, Data Science, Mathematics, or equivalent in a related discipline.  Direct relevant military experience will also be considered.
        Minimum of 2 years related industry experience in machine learning, data science, and analytics.
        Proven track record of successful data science and algorithm implementation.
        A self-starter with excellent oral and written communication skills.
        Experience navigating and programming within the Linux environment.
        Experience working with structured and unstructured databases.
        Advanced proficiency with data science languages (e.g. Python, Matlab,)
        Demonstrated experience with Deep Learning frameworks (e.g. PyTorch, TensorFlow/Keras, scikit-learn, MXNet).
        Experience working with large data sets and ability to extract relevant information from data sets.
        The ability to obtain and maintain a US security clearance is required for this position, for which you must be a U.S. Citizen
 

Qualifications Desired:
        Masters or PhD degree in Machine Learning, Data Science, or Mathematics, or equivalent.
        Experience with ML/DL algorithms extracting signal from noise.
        Past experience being able to develop solutions using disparate data sets through ML techniques.
        DevOps experience involving CI/CD pipelines to build and deploy.
        Experience working with container orchestration technologies (e.g. Docker/Kubernetes).
        An Active TS/SCI clearance.
 

Work Location Type: Hybrid
Required Certifications: None
U.S. Citizenship Required: Yes
Security Clearance Required: Ability to obtain
Employment Type: Regular Full-time
Background Check Type:  7 Year Pre-Employment
Drug Screen Required: None
Position Contingent Upon Contract Award: Yes

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