1

Associate Data Scientist Jobs in Florida (NOW HIRING)

... Associates throughout their career. Lennar has been recognized as a Fortune 500 ® company and ... The Data Scientist II will support the development of AI, machine learning, and natural language ...

... Associates throughout their career. Lennar has been recognized as a Fortune 500 company and ... The Data Scientist II will support the development of AI, machine learning, and natural language ...

Data Scientist

Orlando, FL · On-site

$107K/yr

Technical Leadership & Mentorship (10%) • Lead and manage a pipeline of talent, including interns, co-ops, and associate-level data scientists, providing coaching on model development methodologies ...

... Associates throughout their career. Lennar has been recognized as a Fortune 500 ® company and ... The Data Scientist II will support the development of AI, machine learning, and natural language ...

Associates get satisfaction from knowing they provide agents, marketers and carrier partners the ... Our AI & Data Science team is small, high-impact, and building a modern AI capability from the ...

Associates get satisfaction from knowing they provide agents, marketers and carrier partners the ... Our AI & Data Science team is small, high-impact, and building a modern AI capability from the ...

... associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 ... data science, machine learning engineering, or data pipeline development. * Proficient in Python ...

... associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 ... data science, machine learning engineering, or data pipeline development. * Proficient in Python ...

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Azure Data Scientist Associate, or TensorFlow Developer Certification. Security clearance: * Active TS/SCI clearance. Location: * Doral, Florida. (USSOUTHCOM Headquarters) Prescient Edge is a Veteran ...

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate & Summary The Opportunity As an AI Data Scientist Senior Associate, you will leverage advanced analytics and ...

next page

Showing results 1-20

Associate Data Scientist information

See Florida salary details

$43K

$50.8K

$96.4K

How much do associate data scientist jobs pay per year?

As of Jul 18, 2026, the average yearly pay for associate data scientist in Florida is $50,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,100.00 and $44,500.00 per year, depending on experience, location, and employer.

What is the difference between Associate Data Scientist vs Data Analyst?

AspectAssociate Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

What are the key skills and qualifications needed to thrive as an Associate Data Scientist, and why are they important?

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

What does an Associate Data Scientist do?

An Associate Data Scientist supports data-driven decision-making by collecting, cleaning, and analyzing large datasets. They use statistical methods and programming languages like Python or R to identify trends, build predictive models, and generate insights for business problems. Working under the guidance of more experienced data scientists, they also help visualize data and communicate findings to technical and non-technical stakeholders. This entry-level role often involves learning new tools and techniques while contributing to real-world projects.

What are some typical projects an Associate Data Scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

What Does an Associate Data Scientist Do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

What are the most commonly searched types of Data Scientist jobs in Florida? The most popular types of Data Scientist jobs in Florida are:
What cities in Florida are hiring for Associate Data Scientist jobs? Cities in Florida with the most Associate Data Scientist job openings:
What are popular job titles related to Associate Data Scientist jobs in FL? For Associate Data Scientist jobs in FL, the most frequently searched job titles are:
Infographic showing various Associate Data Scientist job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, 2% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $50,845 per year, or $24.4 per hour.
Associate Data Scientist

$54K - $54K/yr

Full-time

Posted 20 days ago


Job description

Overview
US Citizens only
Please note that pursuant to a government contract, this specific position requires U.S. citizen, U.S. national or protected individual (as defined in 8 U.S.C. § 1324b(a)(3)) status.
Job Purpose
Intercontinental Exchange is seeking a Data Scientist I to join our Loan Data team. As a Data Scientist I, you will play a critical role in analyzing complex loan data sets to identify trends, develop data products, and drive business insights that inform our clients' investment decisions and business strategies. You will work closely with our team to design, develop, and implement data-driven solutions that meet the evolving needs of our clients and drive growth in the loan market.
Intercontinental Exchange (ICE) is a global network of exchanges and clearing houses that operates a range of markets, including financial, agricultural, and energy. Our exchanges, including the New York Stock Exchange (NYSE), ICE Futures, and ICE Clear, provide a platform for buyers and sellers to trade and manage risk. We are committed to delivering innovative solutions that meet the evolving needs of our clients and drive growth in the global economy.
Responsibilities
  • Loan Data Analysis:
    • Collect, process, and analyze large loan data sets from various sources (e.g., loan origination systems, servicing platforms).
    • Identify trends, patterns, and anomalies in loan data using statistical techniques and data visualization tools.
    • Develop and maintain databases and data systems to support loan data analysis and modeling.
  • Data Quality & Data Stewardship
    • Monitor and assess the quality of loan data across internal and external sources.
    • Identify data quality issues, anomalies, and inconsistencies through analysis and validation checks.
    • Partner with data providers, clients, developers, and stakeholders to investigate root causes and drive issue remediation.
    • Contribute to the development of data quality rules, monitoring processes, and controls.
    • Document data quality issues and track resolution progress.
  • Insight Generation:
    • Communicate complex loan data insights and model results to non-technical stakeholders.
    • Develop and present reports, dashboards, and visualizations to support business decisions.
    • Collaborate with stakeholders to identify business problems and develop data-driven solutions.
  • Data Engineering:
    • Design, develop, and maintain data pipelines and architectures to support loan data analysis and modeling.
    • Collaborate with data engineers to implement data solutions and integrate with existing systems.
  • Research and Development:
    • Stay up-to-date with industry trends, research, and developments in data science, machine learning, and related fields.
    • Explore new technologies, tools, and methodologies to enhance existing loan data solutions and models.

Knowledge and Experience
  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
  • Proficiency in programming languages (e.g., Python, R, SQL) and software tools (e.g., pandas, NumPy, scikit-learn).
  • Experience with loan data analysis, machine learning, and data visualization.
  • Familiarity with relational database tools and environments such as SSMS, along with exposure to modern data platforms such as Databricks or Snowflake.
  • Experience with AI-assisted development and analytics tools and ability to incorporate them into data analysis and workflow processes.
  • Strong analytical and problem-solving skills, with the ability to analyze complex loan data sets and develop creative solutions.
  • Experience with data visualization tools (e.g., Sigma, Tableau, Power BI).
  • Excellent communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders.

Nice to Have
  • Advanced Degree:
    • Master's or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field.
  • Certifications:
    • Certified Data Scientist (CDS), Certified Analytics Professional (CAP), or other relevant certifications.
  • Cloud Computing:
    • Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud, Snowflake).
  • Domain Expertise:
    • Familiarity with loan markets, loan products, and lending regulations.

#LI-MA1
-
Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.