ZipRecruiter

Log In

1

Data Scientist Machine Learning Jobs in Miami, FL

Prescient Edge

Senior Data Scientist

Doral, FL · On-site

Job Title Senior Data Scientist Location Doral, FL 33122 US (Primary) Category Intelligence Job ... Possess the knowledge and capability to develop advanced machine learning models and optimize ...

Lennar Homes

Data Scientist II

Miami, FL · On-site

The Data Scientist II will support the development of AI, machine learning, and natural language processing solutions, help translate data into actionable insights for internal stakeholders, and ...

Lennar

Data Scientist II

Miami, FL

The Data Scientist II will support the development of AI, machine learning, and natural language processing solutions, help translate data into actionable insights for internal stakeholders, and ...

Lennar

Data Scientist II

Miami, FL · On-site

The Data Scientist II will support the development of AI, machine learning, and natural language processing solutions, help translate data into actionable insights for internal stakeholders, and ...

Agile Defense

Data Scientist

Doral, FL

This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and ... data science, machine learning engineering, or data pipeline development. * Proficient in Python ...

Prescient Edge

Data Scientist

Doral, FL · On-site

Job Title Data Scientist Location Doral, FL 33122 US (Primary) Category Intelligence Job Type ... Azure Machine Learning, and in implementing models into operational workflows. Education: * A ...

AIS, Inc.

Data Scientist

Miami, FL · On-site

AIS is seeking a Data Scientist to support NOAAs SEFSC Advanced Technology and Innovation Branch ... Support annotation of datasets and development of machine learning models, including training and ...

AIS Inc

Data Scientist

Miami, FL · Remote

AIS is seeking a Data Scientist to support NOAAs SEFSC Advanced Technology and Innovation Branch ... Support annotation of datasets and development of machine learning models, including training and ...

AIS Inc

Data Scientist

Miami, FL · Remote

AIS is seeking a Data Scientist to support NOAAs SEFSC Advanced Technology and Innovation Branch ... Support annotation of datasets and development of machine learning models, including training and ...

Trax USA Corp

Data Scientist - Airvoyant

Miami, FL · On-site

We are looking for an experienced Data Scientist to lead the development of advanced analytics, machine learning models, and data products that deliver measurable business impact. This role will be ...

subway

Data Scientist

Miami, FL

$102K - $128K/yr

Apply a variety of advanced analytical techniques including predictive modeling, machine learning ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ...

subway

Data Scientist

Miami, FL

$102K - $128K/yr

Apply a variety of advanced analytical techniques including predictive modeling, machine learning ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ...

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Apply a variety of advanced analytical techniques including predictive modeling, machine learning ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ...

subway

Data Scientist

Miami, FL

$102K - $128K/yr

Apply a variety of advanced analytical techniques including predictive modeling, machine learning ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ...

next page

Showing results 1-20

All JobsData Scientist Machine Learning JobsData Scientist Machine Learning Jobs in Miami, FL

Data Scientist Machine Learning information

See Miami, FL salary details

$35.9K

$117.4K

$187.9K

How much do data scientist machine learning jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data scientist machine learning in Miami, FL is $117,392.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,200.00 and $130,100.00 per year, depending on experience, location, and employer.

What is a Data Scientist Machine Learning job?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the key skills and qualifications needed to thrive in the Data Scientist Machine Learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

Is 40 too late for data science?

Data scientists can enter the field at any age, including 40 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and machine learning tools. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and while AI automation tools can assist with certain tasks, MLEs are essential for creating and maintaining complex systems. AI is a tool that enhances their work but does not replace the need for skilled professionals who understand data, algorithms, and system integration.

Which 5 jobs will survive AI?

Data Scientist Machine Learning roles are likely to persist as they require complex problem-solving, domain expertise, and the ability to interpret and communicate insights from data. Jobs that involve creativity, emotional intelligence, and strategic decision-making, such as healthcare professionals, educators, and skilled trades, are also expected to remain resilient despite AI advancements.

What are the typical day-to-day responsibilities of a Data Scientist Machine Learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

Do data scientists do machine learning?

Yes, data scientists often use machine learning techniques to analyze data, build predictive models, and extract insights. Proficiency in programming languages like Python or R and understanding of algorithms are essential skills for applying machine learning in their work.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Miami, FL? The most popular types of Data Scientist Machine Learning jobs in Miami, FL are:
What are popular job titles related to Data Scientist Machine Learning jobs in Miami, FL? For Data Scientist Machine Learning jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Data Scientist Machine Learning jobs in Miami, FL look for? The top searched job categories for Data Scientist Machine Learning jobs in Miami, FL are:
What cities near Miami, FL are hiring for Data Scientist Machine Learning jobs? Cities near Miami, FL with the most Data Scientist Machine Learning job openings:
Data Scientist Machine Learning jobs near you
Infographic showing various Data Scientist Machine Learning job openings in Miami, FL as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $117,392 per year, or $56.4 per hour.
Senior Data Scientist

Senior Data Scientist

Haystack News

Fort Lauderdale, FL • Remote

Full-time

Posted 9 days ago

Job description

Haystack News, the number one destination for news on streaming platforms, is looking for a Sr Data Scientist to join our team. Haystack is trusted by over 30 million viewers and is among the fastest-growing TV news companies in the world.

Join our team at Haystack News as a Senior Data Scientist and become a pivotal force in redefining user experiences through cutting-edge algorithm enhancements. In this role, you'll leverage your advanced statistical analysis, modeling, causal inference, experimental design (A/B testing) and data analytics expertise to drive substantial improvements in user engagement and retention, directly impacting our product's success. This is an exceptional opportunity to showcase your robust problem-solving capabilities and to thrive in a collaborative environment, working alongside a team of passionate professionals dedicated to innovation and excellence. Be part of a dynamic workplace where your contributions make a meaningful difference and help shape the future of news consumption.

MINIMUM QUALIFICATIONS

  • PhD or M.S. in Computer Science, Mathematics, Electrical Engineering, Statistics, Economics or Operations Research with 5+ years of professional experience in data science, machine learning or related quantitative field

  • 3+ years of professional experience with large-scale online ranking/recommender systems (for news feeds, shopping, ads, music, etc).

  • Deep expertise in statistical inference and experimental design: hypothesis testing, power/sample size calculations, variance reduction, etc.

  • Proficiency in causal inference methods to measure product impact.

  • Proven ability to translate offline analysis into product decisions and measurable improvements in online metrics.

  • Fluency in the Python analytics stack (pandas, NumPy), statistical modeling (statsmodels or scikit-learn) and machine learning packages such as LightGBM and XGBoost.

  • Strong experience with SQL (e.g. postgres, snowflake, etc).

PREFERRED QUALIFICATIONS:

  • Experience working on consumer-facing products with millions of users.

  • Hands-on experience with orchestration/transformation tools (e.g. dbt and Airflow).

  • Experience with deep learning and being familiar with tools such as PyTorch or TensorFlow.

  • Hands-on development of products/tools incorporating GenAI, LLMs, RAG, and/or Agents.

RESPONSIBILITIES

  • Build statistical and machine learning models to improve content discovery and user engagement.

  • Work closely with ML engineers to translate models and insights into production systems.

  • Have curiosity and apply analytical skills to dive deep into data to find key insights that would impact the business.

  • Apply causal inference methods to understand the impact of potential product changes.

  • Define and build new ML features using text and multimodal embeddings and GenAI.

  • Validate offline learnings with online outcomes through AB testing. Design, execute, and analyze experiments to prove product change attribution.