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No Degree Python Jobs in Miami, FL (NOW HIRING)

Security Architect - Consultant 9309

Miami, FL ยท Remote

$66.50 - $86/hr

W2 Only (No Subcontractors) Contract Duration: 12-Month Contract Our direct client is seeking an ... Python and Bash 5+ years of experience with Linux, Windows, network security protocols and ...

Data Engineer

Aventura, FL ยท On-site

$109K - $131K/yr

Primary Responsibilities/Essential Functions This in no way states or implies that these are the ... Software Development and Automation โ€ข Utilize Python and SQL to develop efficient, production ...

Data Engineer

Aventura, FL ยท On-site

$109K - $131K/yr

Primary Responsibilities/Essential Functions This in no way states or implies that these are the ... Software Development and Automation ยท Utilize Python and SQL to develop efficient, production ...

Cloud Data Engineer

Miami, FL ยท On-site

$53.25 - $71.25/hr

As you learn more about our company, we think you will agree that there is no better time than now ... Must maintain high data quality and security in cloud environments, automating tasks with Python ...

Principal Software Engineer

Weston, FL ยท On-site

$100 - $115/hr

No visa sponsorship. Only open to W2 employment. As a Principal Engineer, you will lead the ... The ideal candidate brings extensive experience in their field, along with an advanced degree or ...

New

Data Scientist

Miami, FL

$102K - $128K/yr

Look no further because one of the world's most iconic brands can help you get there. Why Join Us ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ...

Data Scientist

Miami, FL

$102K - $128K/yr

Look no further because one of the world's most iconic brands can help you get there. Why Join Us ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ...

Data Scientist

Miami, FL

$102K - $128K/yr

Look no further because one of the world's most iconic brands can help you get there. Why Join Us ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ...

Data Scientist

Miami, FL

$102K - $128K/yr

Look no further because one of the world's most iconic brands can help you get there. Why Join Us ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ...

Data Scientist

Miami, FL ยท On-site

$102K - $128K/yr

Look no further because one of the world's most iconic brands can help you get there. Why Join Us ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ...

Data Scientist

Miami, FL

$102K - $128K/yr

Look no further because one of the world's most iconic brands can help you get there. Why Join Us ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ...

Data Scientist

Miami, FL

$102K - $128K/yr

Look no further because one of the world's most iconic brands can help you get there. Why Join Us ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ...

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No Degree Python information

See Miami, FL salary details

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$56

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How much do no degree python jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for no degree python in Miami, FL is $56.07, according to ZipRecruiter salary data. Most workers in this role earn between $46.20 and $63.70 per hour, depending on experience, location, and employer.

What are 'No Degree Python' jobs?

'No Degree Python' jobs refer to positions that require proficiency in the Python programming language but do not mandate a formal college degree for applicants. These roles are often available in fields like web development, data analysis, automation, and software testing. Employers typically look for practical experience, coding skills, and a portfolio of projects, which can be demonstrated through self-study, online courses, or bootcamps. This opens up opportunities for individuals who have developed their Python skills outside of traditional academic paths.

What are the key skills and qualifications needed to thrive as a Python Developer without a formal degree, and why are they important?

To thrive as a Python Developer without a formal degree, you need a strong grasp of Python programming fundamentals, problem-solving abilities, and a robust portfolio demonstrating real-world projects. Familiarity with development tools like Git, popular frameworks such as Django or Flask, and experience with version control and databases are typically expected. Strong communication, self-motivation, and a willingness to continuously learn help you stand out in this role. These skills ensure you can deliver effective solutions, adapt to evolving technologies, and collaborate productively within development teams.

What is the difference between No Degree Python vs Data Analyst?

AspectNo Degree PythonData Analyst
Required CredentialsOften no formal degree required; focus on coding skills and portfolioTypically requires a degree in data science, statistics, or related field
Work EnvironmentSelf-taught, freelance, or startup settings; remote or flexibleCorporate offices, consulting firms, or in-house teams
Industry UsageUsed across tech, startups, and freelance projectsCommon in finance, marketing, healthcare, and consulting

While No Degree Python emphasizes coding skills without formal education, Data Analysts usually have a degree and focus on interpreting data. Both roles involve working with data, but their credentials, work settings, and industry applications differ.

What types of projects or tasks can candidates without a degree expect to work on in a Python developer role?

Candidates without a formal degree who secure Python developer roles often work on a variety of tasks such as automating processes, developing web applications, writing scripts for data analysis, or contributing to backend systems. Depending on the company, you may collaborate with cross-functional teams including designers, project managers, and other developers. Success in the role often depends on your portfolio, coding proficiency, and ability to solve real-world problems rather than your educational background. Demonstrating your skills through GitHub contributions or personal projects can help you secure more complex and interesting assignments over time.
What cities near Miami, FL are hiring for No Degree Python jobs? Cities near Miami, FL with the most No Degree Python job openings:
Infographic showing various No Degree Python job openings in Miami, FL as of July 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, and 4% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $116,622 per year, or $56.1 per hour.

Data Scientist, Revenue Management Systems

Norwegian Cruise Line Holdings Ltd

Miami, FL โ€ข On-site

Full-time

Re-posted 22 days ago


Job description

GROW YOUR CAREER WITH US
At Norwegian Cruise Line Holdings (NCLH), we know our future success depends on our ability to attract and retain the very best talent. Our brands deliver vacations of a lifetime with innovative product offerings, a high level of service and unique guest experiences aboard each vessel and we're continually seeking applicants who are passionate about hospitality and committed to being their personal best. As you learn more about our company, we think you will agree that there is no better time than now to become a member of the NCLH family!
APPLY ONLINE
If you're interested to be considered for this position, please click the blue APPLY button at the top of the page to get started. All candidates must complete an on-line application to be considered.
JOB SUMMARY
The Data Scientist within Revenue Management Systems will be responsible for building, scaling, and validating the predictive models, forecasting logic, and advanced analytics frameworks that power Norwegian Cruise Line's dynamic pricing and inventory management decisions. This individual contributor role bridges statistical engineering with commercial operations-translating massive datasets, historical transaction curves, and high-intent guest behavioral data into clear, high-yield revenue recommendations.
Working closely with senior leadership, data engineers, and revenue managers, the Data Scientist will write production-grade SQL and Python code to design scalable forecasting algorithms and price elasticity frameworks. The ideal candidate thrives on extracting value from complex database environments (e.g., Snowflake) and converting technical model performance into clear business insights.
POSITION RESPONSIBILITIES
  • Predictive Model Construction: Design, write, and maintain scalable algorithms and machine learning models for booking curves, price elasticity, cancellation rates, and passenger cabin upgrades (e.g., Plusgrade).
  • Data Pipeline & ETL Engineering: Query, clean, aggregate, and manipulate large-scale datasets from disparate corporate ecosystems using Snowflake, SQL, and Python to ensure reliable inputs for quantitative modeling.
  • RMS Calibration & Evaluation: Monitor, fine-tune, and analyze baseline calibration thresholds within enterprise Revenue Management Systems (RMS) to reduce forecast variances and automate routine algorithmic workflows.
  • A/B Testing & Attribution: Formulate rigorous tracking and measurement frameworks, using statistical methodologies and panel data techniques to validate the exact revenue impacts of tactical promotions and digital pricing optimizations.
  • Business Intelligence Support: Architect, deploy, and maintain insightful data visualization dashboards in Power BI or Tableau to translate modeling results and performance metrics into clear stories for commercial stakeholders.
  • Cross-Functional Collaboration: Partner closely with IT and data engineering teams to operationalize prototypes into robust production systems, while communicating quantitative logic clearly to non-technical business partners.

QUALIFICATIONS
DEGREE TYPE:
Bachelor's Degree
FIELD(S) OF STUDY:
Business Administration, Hospitality Management, Finance, Marketing, or a related field
EXPERIENCE
  • Bachelor's degree in Data Science, Statistics, Mathematics, Operations Research, Economics, Computer Science, or a heavily quantitative discipline is required.
  • Master's degree (MS) in a quantitative field is a plus but not required with equivalent professional experience.
  • 3-5 years of progressive professional experience working as a data scientist, quantitative analyst, or modeler-ideally building systems that influence business pricing, sales, or financial forecasting.
  • Hands-on experience manipulating, structuring, and scrubbing large, raw datasets within enterprise cloud-based or local architectures.
  • Prior experience working in dynamic commercial fields with highly perishable inventory (e.g., cruise lines, aviation, hospitality, logistics, or consumer tech) is highly preferred.
  • Experience in a role that required presenting complex outputs in clear and concise way that influenced leadership.

COMPETENCIES & SKILLS
  • Advanced Querying & Coding: Strong mastery of programming languages required for statistical computing, data architecture, and ETL execution, specifically Python and advanced SQL.
  • Cloud Environments: Hands-on familiarity extracting and joining complex relational data within cloud data platforms like Snowflake, Databricks, or cloud equivalents.
  • Data Visualization: Demonstrated capability building, hosting, and automating reports or data visualization dashboards in Power BI or Tableau.
  • Statistical & ML Frameworks: Knowledge of regression analysis, time-series forecasting ARIMA/Prophet, optimization algorithms, and common machine learning packages (scikit-learn, XGBoost, etc.).
  • Analytical Curiosity: A natural drive to unearth trends in chaotic, complex transaction data and translate those findings into logical business mechanics.
  • Execution & Delivery: Strong time management skills with a proven capacity to take an abstract business request and run with it from exploratory data analysis to model testing and dashboard delivery.
  • Collaborative Communicator: Ability to speak comfortably with both database administrators and non-technical business leaders, ensuring complex modeling results are easily understood.

ABOUT NCLH
Norwegian Cruise Line Holdings Ltd. (NYSE: NCLH) is a leading global cruise company which operates the Norwegian Cruise Lineยฎ, Oceania Cruisesยฎ and Regent Seven Seas Cruisesยฎ brands. The combined brands currently operate 32 ships, employ over 35,000 shipboard crew from more than 110 different countries and visit approximately 700 different port destination each year.
LEARN MORE ABOUT OUR COMPANY:
At a Glance
Brand Overview
Norwegian Cruise Line
Oceania Cruises
Regent Seven Seas Cruises
New Releases
EQUAL OPPORTUNITY EMPLOYER
It is Norwegian Cruise Line Holding's policy not to discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, and marital or veteran status.
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.