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Data Science Machine Learning Jobs in Florida (NOW HIRING)

$180K - $210K/yr

... science, machine learning, or related fields, ideally in a high-growth tech or fintech environment. * Experience in fraud prevention, risk modeling, or identity verification. * Years of hands-on ...

Proficient in advanced machine learning techniques, statistical modeling, and data science methodologies, with expertise in feature engineering, model validation, and data provenance tracking.

Proficient in advanced machine learning techniques, statistical modeling, and data science methodologies, with expertise in feature engineering, model validation, and data provenance tracking.

Proficient in advanced machine learning techniques, statistical modeling, and data science methodologies, with expertise in feature engineering, model validation, and data provenance tracking.

Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming ...

The Data Science Consultant role involves solving data problems end to end, utilizing machine learning and data analysis to enhance customer value and drive business growth. Responsibilities : • ...

Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming ...

The Data Science Consultant role involves solving data problems end to end, utilizing machine learning and data analysis to enhance customer value and drive business growth. Responsibilities : • ...

... data science and machine learning. • Ability to work independently and collaborate as part of a team • Effective written and verbal communication skills • Meticulous attention to detail and ...

New

... data science and machine learning. • Ability to work independently and collaborate as part of a team • Effective written and verbal communication skills • Meticulous attention to detail and ...

New

... data science and machine learning. • Ability to work independently and collaborate as part of a team • Effective written and verbal communication skills • Meticulous attention to detail and ...

New

... data science and machine learning. • Ability to work independently and collaborate as part of a team • Effective written and verbal communication skills • Meticulous attention to detail and ...

New

... data science and machine learning. • Ability to work independently and collaborate as part of a team • Effective written and verbal communication skills • Meticulous attention to detail and ...

New

Ph.D. in Computer, Science, Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 ...

Ph.D. in Computer, Science, Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

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Showing results 1-20

Data Science Machine Learning information

See Florida salary details

$28K

$91.7K

$146.8K

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

As of May 31, 2026, the average yearly pay for data science machine learning in Florida is $91,721.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,600.00 and $101,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Machine Learning professional, and why are they important?

To thrive as a Data Science Machine Learning professional, you need a strong background in statistics, programming (usually Python or R), and a solid understanding of machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications such as AWS Certified Machine Learning, are typically valuable. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These skills enable professionals to develop robust models, extract actionable insights, and drive data-driven decision-making in organizations.

What are some common challenges faced when deploying machine learning models as a Data Science Machine Learning professional?

A frequent challenge in this role is bridging the gap between building accurate models in a controlled environment and deploying them effectively in production systems. Issues such as data drift, model performance degradation, and integration with existing IT infrastructure often arise. Collaboration with engineering and IT teams is crucial to ensure models are scalable, maintainable, and secure. Regular monitoring and updating of deployed models are also essential responsibilities to sustain their value to the business.

What is data science machine learning?

Data science machine learning refers to the use of algorithms and statistical models to analyze and draw insights from complex data sets. In this field, professionals use machine learning techniques to build predictive models, automate decision-making processes, and uncover patterns in data. Machine learning is a core component of data science, enabling systems to improve their performance over time without being explicitly programmed. Data scientists with machine learning expertise are in high demand across industries like healthcare, finance, and technology.

What is the difference between Data Science Machine Learning vs Data Analyst?

AspectData Science Machine LearningData Analyst
Required SkillsProgramming (Python, R), statistics, machine learning algorithmsData visualization, SQL, basic statistics
Work EnvironmentDeveloping models, coding, experimenting with algorithmsData reporting, dashboard creation, data cleaning
Industry UsageTech, finance, healthcare, where predictive models are neededBusiness intelligence, marketing, operations

Data Science Machine Learning professionals focus on building predictive models and algorithms using programming and advanced statistics, often working on complex projects. Data Analysts primarily interpret data through visualization and reporting to support business decisions. While both roles require data skills, Data Science Machine Learning involves more technical programming and modeling, whereas Data Analysts focus on data interpretation and presentation.

Infographic showing various Data Science Machine Learning job openings in Florida as of May 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 53% Physical, 4% Hybrid, and 43% Remote job distribution, with an average salary of $91,721 per year, or $44.1 per hour.
Staff Data Scientist - Fraud & Risk

Staff Data Scientist - Fraud & Risk

Socure

On-site, Remote

$180K - $210K/yr

Full-time

Posted 25 days ago


Job description

Why Socure?
Socure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won't be your place. If you want to help build the future of identity with a team that holds a high bar for itself - keep reading.
About the Role
We are seeking a skilled and motivated Staff Data Scientist to join our Fraud & Risk Data Science team. As an advanced-level individual contributor, you will design, build, and optimize advanced DS/ML models that power our core fraud detection and risk management solutions. You will lead technical initiatives, mentor peers, and drive functional productivity and project success. You will work hands-on with advanced deep learning models, driving delivery of impactful solutions for fraud detection, risk management, and identity verification. This role requires deep technical expertise, strategic ownership, and a commitment to Socure's leadership principles, including continuous learning, effective communication, and accountability.
What You'll Do
  • Design, develop, and implement advanced deep learning models, including transformers, CNNs/RNNs, and graph learning algorithms, to address complex fraud and risk challenges.
  • Build and optimize models using a variety of input data types, including tabular data, natural language, point clouds, and images.
  • Lead the end-to-end machine learning lifecycle: data exploration, feature engineering, model training, evaluation, deployment, and monitoring in production environments.
  • Take ownership of project outcomes, data quality, and delivery timelines; proactively escalate issues and work collaboratively to resolve challenges.
  • Mentor and share knowledge with peers and junior data scientists, fostering a culture of experimentation, rapid iteration, and continuous learning.
  • Collaborate cross-functionally with Product, Engineering, and Risk teams to define data requirements and drive insights that guide strategic decisions.
  • Conduct in-depth research to explore new data sources and develop novel algorithms that advance the state of the art in fraud detection.
  • Present findings and recommendations to technical and executive stakeholders with clarity and influence.
  • Stay current with advancements in AI and machine learning, applying innovative approaches to real-world problems.
  • Model Socure's embedded leadership competencies: continuous learning, effective communication, accountability, team development, decision making, and managing change.
What You Bring
  • Master's or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field; or equivalent professional experience.
  • 8+ years of experience in data science, machine learning, or related fields, ideally in a high-growth tech or fintech environment.
  • Experience in fraud prevention, risk modeling, or identity verification.
  • Years of hands-on experience developing and deploying deep learning models (such as transformers, CNNs/RNNs, and graph learning).
  • Experience working with diverse data modalities, such as tabular data, text/language, point clouds, and images.
  • Strong proficiency in Python, SQL, and major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
  • Deep understanding of machine learning algorithms, model evaluation techniques, and data pipeline development.
  • Experience with model deployment and monitoring in production environments (specific experience with real-time model inferencing is a plus)
  • Experience with LLMs and Agentic AI framework/infrastructure (e.g., LangChain/LangGraph/Ray) is a plus.
  • Demonstrated ability to proactively deliver complex outcomes, mentor others, and influence cross-functional decisions.
  • Excellent communication skills with the ability to translate complex data problems into actionable business insights for both technical and non-technical audiences.
  • Commitment to continuous learning, professional integrity, and high standards of business ethics.

Please note: we are unable to provide sponsorship now, or in the future.
Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need an accommodation during any stage of the application or hiring process-including interview or onboarding support-please reach out to your Socure recruiting partner directly.
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