1

Data Science Jobs in Miami, FL (NOW HIRING)

Data Scientist

Doral, FL ยท On-site

$112K - $257K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into ...

New

Data Scientist

Doral, FL

$112K - $257K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into ...

Posted today

Data Science and Analytics team leadership. Manage data analysts delivering dashboards, recurring reports, and ad-hoc analysis. Establish consistent standards for data science and analytics ...

Data Scientist

Miami, FL

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Data Scientist

Miami, FL

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Data Scientist

Miami, FL

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Data Scientist

Miami, FL

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Data Scientist

Miami, FL

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Data Scientist

Miami, FL ยท On-site

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Data Scientist

Miami, FL ยท On-site

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Data Scientist

Miami, FL

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Data Scientist

Miami, FL

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Data Scientist

Miami, FL

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Data Scientist

Miami, FL

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Contribute to the data science community through publications, presentations, and participation in industry events, sharing knowledge and expertise to advance the field Minimum Qualifications: * Four ...

New

Showing results 21-40

Data Science information

See Miami, FL salary details

$35.9K

$117.4K

$187.9K

How much do data science jobs pay per year?

As of Aug 5, 2026, the average yearly pay for data science 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.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
What are the most commonly searched types of Data Science jobs in Miami, FL? The most popular types of Data Science jobs in Miami, FL are:
What cities near Miami, FL are hiring for Data Science jobs? Cities near Miami, FL with the most Data Science job openings:
Infographic showing various Data Science job openings in Miami, FL as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 11% Part Time, and 8% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $117,392 per year, or $56.4 per hour.

Data Science And Business Analyst

ITrade STEM

Fort Lauderdale, FL โ€ข On-site

Contractor

Re-posted 12 days ago


Job description

At ITRADE STEM, we help create jobs and support the future of industries like space, technology, energy, and manufacturing. We do this by creating programs that teach skills and support sustainable growth. Join us on our mission to Redefine STEM!
We are seeking a qualified Business Analyst who possesses a strong blend of data science expertise and business insight. This role offers a unique opportunity to join a forward-thinking client company in Fort Lauderdale, where you will be part of a team dedicated to excellence and collaborative innovation. As a Business Analyst, you will play a pivotal role in addressing complex business challenges through the development of effective business intelligence and analytics solutions. Your work will directly contribute to driving organizational change, optimizing value streams, and promoting sustainability initiatives.
This position stands out for its emphasis on Industry 4.0 projects, allowing you to engage with highly talented professionals while making a tangible impact in a rapidly evolving sector. If you are driven by the desire to create meaningful solutions and advance your career in a stimulating environment, we invite you to apply and be part of our transformative journey.
RESPONSIBILITIES:
  • Drive business value by understanding the needs, vision, and challenges of stakeholders, leveraging experience in data science and analytics using SQL.
  • Lead requirement gathering through interviews, workshops, and documentation to effectively manage relationships with stakeholders.
  • Create clear process workflows and translate business needs into technical requirements for the data science team.
  • Design and evaluate innovative technology solutions to optimize business processes across various units, focusing on data science and analytics development.
  • Collaborate with data science teams, business units, and project teams to ensure the successful implementation of solutions, translating technical requirements as needed.
  • Stay current with emerging methodologies and technologies in business analysis.
  • Maintain expertise in business operations and communicate effectively with stakeholders.

REQUIREMENTS:
  • Bachelor's degree in Business, Computer Science, Engineering, Finance, or a related field.
  • 3-5 years of experience in business and process analysis, with a strong emphasis on stakeholder engagement and relationship management.
  • 3-5 years of hands-on experience using SQL for data analysis and reporting.
  • Proven experience in translating business needs into technical requirements for data science teams.
  • Familiarity with designing and evaluating technology solutions to optimize business processes.
  • Knowledge of Agile methodologies and Business Analysis practices; Agile, Scrum, or Business Analysis certification is preferred.
  • Continuous learning mindset, with a commitment to staying current with emerging technologies and methodologies in business analysis.
  • Strong technical documentation and communication skills
  • Experience with requirements gathering, analysis, and solution design
  • Proven track record in implementing technology solutions
  • Knowledge of SDLC and business operations
  • Excellent analytical and interpersonal skills

Ready to make your mark in your career? Join our client's dynamic Business Analytics team in Fort Lauderdale, FL as a Business Analyst! You'll drive innovation, shape sustainable solutions, and grow your career in one of technology's fastest-growing sectors.