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Data Science Machine Learning Jobs in Florida (NOW HIRING)

Data Scientist Assistant Vice President

Tampa, FL ยท On-site

$96.96 - $145.44/hr

The ideal candidate will leverage advanced machine learning (ML) techniques and robust data science capabilities to solve complex business problems, uncover insights, and build scalable solutions ...

AMS-CHLOE-AI/ML Data Scientist

Tampa, FL ยท On-site

$140 - $190/hr

We are seeking a highly skilled and experienced Senior AI/ML Data Scientist to develop and ... Master's degree in a highly quantitative field (Computer Science, Machine Learning, Operational ...

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 ...

Data Scientist

Orlando, FL ยท On-site +1

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 ...

Data Science Tutor

Tampa, FL ยท Remote

$18 - $40/hr

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

Data Science Tutor

Hialeah, FL ยท Remote

$18 - $40/hr

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

Data Science Tutor

Coral Gables, FL ยท Remote

$18 - $40/hr

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

Data Science Tutor

Orlando, FL ยท Remote

$18 - $40/hr

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

Data Science Tutor

Tallahassee, FL ยท Remote

$18 - $40/hr

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

Data Science Tutor

Miramar, FL ยท Remote

$18 - $40/hr

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

Showing results 21-40

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 Aug 12, 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?

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 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.

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.
Infographic showing various Data Science Machine Learning job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $91,721 per year, or $44.1 per hour.

Data Scientist Assistant Vice President

Socket.dev

Tampa, FL โ€ข On-site

$96.96 - $145.44/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Role Summary

We are seeking a highly skilled and motivated Data Scientist at the Assistant Vice President level to join our dynamic team. This role is pivotal in driving data-driven decision-making and innovation within Citi. The ideal candidate will leverage advanced machine learning (ML) techniques and robust data science capabilities to solve complex business problems, uncover insights, and build scalable solutions that create significant value for the firm and its clients.

You will be responsible for the end-to-end lifecycle of data science projects, from conceptualization and data exploration to model development, deployment, and performance monitoring. This position requires a deep technical expertise in Python, machine learning, and statistical analysis, combined with strong business acumen and the ability to communicate complex findings to both technical and non-technical stakeholders.

Key Responsibilities
  • Model Development & Implementation: Design, develop, and implement sophisticated machine learning models (e.g., for forecasting, classification, clustering, anomaly detection, and natural language processing) using Python and its core data science libraries (scikit-learn, TensorFlow, PyTorch, Keras).
  • End-to-End Project Ownership: Lead all phases of the data science project lifecycle, including requirements gathering, data sourcing and wrangling, feature engineering, model training and validation, and deployment into production environments.
  • Data Analysis & Insights: Perform exploratory data analysis on large, complex datasets to identify trends, patterns, and actionable insights that address key business questions.
  • Technical Leadership & Mentoring: Provide technical guidance to junior data scientists and analysts. Champion best practices in coding, data science methodologies, and model validation.
  • Stakeholder Collaboration: Partner with business leaders, product managers, and technology teams to understand challenges, define project objectives, and translate business needs into quantitative analyses and predictive models.
  • Communication: Clearly and effectively present complex analytical concepts, methodologies, and results to diverse audiences, including senior management.
  • Innovation & Strategy: Stay current with the latest advancements in the fields of machine learning and artificial intelligence. Proactively identify opportunities to apply novel techniques to drive competitive advantage and operational efficiency.
  • Governance & Compliance: Ensure all models and data processes adhere to internal risk management policies, regulatory requirements, and model governance standards.
Qualifications & Skills Essential:
  • Experience: 5-7+ years of hands-on experience in a data science or quantitative role, with a proven track record of developing and deploying machine learning models in a corporate environment.
  • Programming Proficiency: Expert-level programming skills in Python, including extensive experience with data manipulation (pandas, NumPy), machine learning (scikit-learn, XGBoost), and deep learning (TensorFlow, PyTorch) libraries.
  • Database Skills: Strong proficiency in SQL for querying and extracting data from relational databases (e.g., Oracle, PostgreSQL).
  • Machine Learning Expertise: Deep understanding of both classical machine learning algorithms (e.g., Linear/Logistic Regression, Random Forests, Gradient Boosting) and modern deep learning architectures (e.g., CNNs, RNNs, Transformers).
  • Statistical Knowledge: Solid foundation in statistics, probability, and experimental design.
  • Problem-Solving: Exceptional analytical and problem-solving skills with the ability to break down complex problems into manageable components.
  • Communication: Excellent verbal and written communication skills, with the ability to articulate technical topics to non-technical audiences.
Educational Background:
  • A Bachelor\'s degree in a similar field with significant, equivalent professional experience will also be considered.
Preferred:
  • Financial Services Experience: Prior experience working in the financial industry (e.g., banking, risk management, algorithmic trading, fraud detection) is highly desirable.
  • Full-Stack Capability: Experience or familiarity with full-stack development, including backend technologies like Java and frontend frameworks like Angular, is a plus.
  • Big Data Technologies: Experience with distributed computing frameworks like Apache Spark (PySpark) and the Hadoop ecosystem.
  • Cloud Platforms: Hands-on experience with data science and ML services on cloud platforms such as AWS (Sagemaker), Google Cloud (AI Platform), or Azure (Machine Learning).
  • MLOps: Familiarity with MLOps principles and tools for model versioning (Git), containerization (Docker, Kubernetes), and CI/CD pipelines.
  • Data Visualization: Proficiency with data visualization tools and libraries.

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Primary Location:

Tampa Florida United States

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Primary Location Full Time Salary Range:

$96,960.00 - $145,440.00

In addition to salary, Citiโ€™s offerings may also include, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Anticipated Posting Close Date:

Jun 20, 2026

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*Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.*

*If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citiโ€™s EEO Policy Statement and the Know Your Rights poster.*

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