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Algorithm Jobs in Miami, FL (NOW HIRING)

Raytheon

Senior RF Data Link Engineer

Miami, FL

Algorithm development * Digital signal processing What You Will Do * Perform and/or evaluate concept and performance trade studies, link budget analyses and demonstrate developed capabilities for ...

Varsity Tutors

AP Computer Science A Tutor

Miami, FL · Remote

$18 - $40/hr

Skilled at teaching algorithm design, code tracing, and debugging strategies for Java programming. Guides students through implementing searching and sorting algorithms, designing class hierarchies ...

Varsity Tutors

AP Computer Science A Tutor

Miramar, FL · Remote

$18 - $40/hr

Skilled at teaching algorithm design, code tracing, and debugging strategies for Java programming. Guides students through implementing searching and sorting algorithms, designing class hierarchies ...

Varsity Tutors

AP Computer Science A Tutor

Doral, FL · Remote

$18 - $40/hr

Skilled at teaching algorithm design, code tracing, and debugging strategies for Java programming. Guides students through implementing searching and sorting algorithms, designing class hierarchies ...

Varsity Tutors

AP Computer Science A Tutor

Hialeah, FL · Remote

$18 - $40/hr

Skilled at teaching algorithm design, code tracing, and debugging strategies for Java programming. Guides students through implementing searching and sorting algorithms, designing class hierarchies ...

Varsity Tutors

AP Computer Science A Tutor

Sunrise, FL · Remote

$18 - $40/hr

Skilled at teaching algorithm design, code tracing, and debugging strategies for Java programming. Guides students through implementing searching and sorting algorithms, designing class hierarchies ...

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All JobsAlgorithm JobsAlgorithm Jobs in Miami, FL

Algorithm information

See Miami, FL salary details

$32

$75

$99

How much do algorithm jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for algorithm in Miami, FL is $75.07, according to ZipRecruiter salary data. Most workers in this role earn between $63.89 and $85.05 per hour, depending on experience, location, and employer.

What jobs use algorithms?

Jobs that use algorithms include roles in software development, data science, machine learning engineering, and cybersecurity. These positions require skills in programming, mathematical modeling, and understanding of data structures to develop and optimize algorithms for various applications.

What are the key skills and qualifications needed to thrive in the Algorithm position, and why are they important?

To excel as an Algorithm Engineer, you typically need a strong background in computer science, mathematics, and programming languages such as Python, C++, or Java, often supported by a relevant degree. Familiarity with algorithms and data structures, version control systems like Git, and experience with technical tools such as MATLAB or TensorFlow are highly valued. Analytical thinking, problem-solving abilities, and effective communication skills are crucial soft skills for this position. These competencies are essential to create efficient algorithms, collaborate across teams, and drive innovation in computational solutions.

What is the job of an algorithm?

An algorithm is a set of step-by-step instructions used to solve a specific problem or perform a task. In a job context, developing and optimizing algorithms involves programming skills, understanding data structures, and analyzing efficiency to improve software performance. Algorithm-related roles often require knowledge of programming languages and problem-solving abilities.

What is an Algorithm job?

An Algorithm job typically involves designing, analyzing, and optimizing algorithms to solve complex problems efficiently. Professionals in this role work in fields like computer science, data science, artificial intelligence, and software development. They create algorithms for tasks such as data processing, machine learning, search optimization, and automation. Strong mathematical and programming skills are essential, along with knowledge of algorithmic complexity and data structures.

What engineers make $500,000?

Senior software engineers, especially those working in high-demand fields like machine learning, AI, or at major tech companies, can earn $500,000 or more annually. Compensation often includes base salary, bonuses, and stock options, and typically requires extensive experience, advanced skills, and sometimes leadership roles.

What are typical projects or tasks that an Algorithm Engineer works on?

As an Algorithm Engineer, you might work on developing and optimizing algorithms for tasks like data analysis, machine learning, computer vision, or operations research, depending on the industry. Daily responsibilities often include writing and testing code, analyzing performance bottlenecks, and collaborating with data scientists, product managers, or software engineers to integrate algorithms into production systems. You may also be involved in researching new techniques, reviewing technical literature, and presenting your findings to technical and non-technical audiences. This role often requires balancing creative problem-solving with practical implementation and continuous improvement.

Which 3 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as healthcare professionals, skilled tradespeople, and creative roles like writers and designers, are less likely to be fully replaced by AI. These roles often involve emotional intelligence, nuanced judgment, and hands-on skills that AI cannot replicate easily.
What are popular job titles related to Algorithm jobs in Miami, FL? For Algorithm jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Algorithm jobs in Miami, FL look for? The top searched job categories for Algorithm jobs in Miami, FL are:
What cities near Miami, FL are hiring for Algorithm jobs? Cities near Miami, FL with the most Algorithm job openings:
Algorithm jobs near you
Infographic showing various Algorithm job openings in Miami, FL as of July 2026, with employment types broken down into 3% Locum Tenens, 72% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $156,153 per year, or $75.1 per hour.
Data Scientist, Revenue Management Systems

Data Scientist, Revenue Management Systems

Norwegian Cruise Line Holdings Ltd

Miami, FL • On-site

Full-time

Re-posted 3 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.
  • 2-5 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.

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 Line®, Oceania Cruises® and Regent Seven Seas Cruises® 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.

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