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Data Science Project Manager Jobs in Florida (NOW HIRING)

Job Overview The Program Data Science Analyst will play a critical role in supporting program and ... Maintain and update project management tools and systems * Generate detailed project reports ...

This role blends deep data science expertise with program analysis, enabling the organization to ... Maintain and update project management tools and systems * Generate detailed project reports ...

This role blends deep data science expertise with program analysis, enabling the organization to ... Maintain and update project management tools and systems * Generate detailed project reports ...

Working on projects leveraging your expertise in data science, artificial-intelligence and machine learning Assist in breaking down complex business problems, developing solutions, and delivering ...

Key Responsibilities: • Working on projects leveraging your expertise in data science, artificial-intelligence and machine learning • Assist in breaking down complex business problems, developing ...

Key Responsibilities: • Working on projects leveraging your expertise in data science, artificial-intelligence and machine learning • Assist in breaking down complex business problems, developing ...

Project Manager Data & AI

Miami, FL · On-site

$49.50 - $66.75/hr

Collaborate with stakeholders, data engineers, data scientists, and business teams * Define project scope, timelines, milestones, and deliverables * Track progress, manage risks/issues, and ensure ...

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

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Data Science Project Manager information

See Florida salary details

$12

$42

$59

How much do data science project manager jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for data science project manager in Florida is $42.98, according to ZipRecruiter salary data. Most workers in this role earn between $37.16 and $50.29 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Project Manager, and why are they important?

To thrive as a Data Science Project Manager, you need a solid understanding of data science methodologies, project management principles, and usually a degree in computer science, statistics, or a related field. Familiarity with analytics tools (such as Python, R, SQL), project management software (like Jira or Trello), and certifications such as PMP or Agile/Scrum are often required. Strong leadership, communication, and problem-solving skills set top performers apart by enabling effective team coordination and stakeholder management. These competencies ensure projects are delivered on time, within scope, and generate actionable insights that drive business value.

How does a Data Science Project Manager typically collaborate with data scientists and stakeholders throughout a project?

A Data Science Project Manager acts as a bridge between technical teams and business stakeholders, ensuring clear communication of goals, timelines, and deliverables. They facilitate regular meetings to discuss project progress, address any obstacles, and realign priorities as needed. By translating business requirements into actionable tasks for data scientists and providing updates to stakeholders, they help ensure that projects stay on track and deliver value. Effective collaboration often involves balancing technical feasibility with business needs, managing expectations, and fostering a cooperative team environment.

What is a Data Science Project Manager?

A Data Science Project Manager is a professional who oversees and coordinates data science projects from inception to completion. They act as a bridge between technical data science teams and business stakeholders, ensuring that project goals align with organizational objectives. Responsibilities include planning project timelines, managing resources, mitigating risks, and communicating progress. They also help define project requirements, monitor deliverables, and ensure that outcomes meet quality standards. Strong communication, analytical, and organizational skills are essential for this role.

What is the difference between Data Science Project Manager vs Data Analyst?

AspectData Science Project ManagerData Analyst
Required CredentialsOften requires a bachelor’s or master’s in data science, analytics, or related fields; project management certifications beneficialTypically holds a bachelor’s degree in statistics, mathematics, or related areas; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLeads data science projects, collaborates with data scientists, engineers, and stakeholdersAnalyzes data sets, creates reports, visualizations, and supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms managing data science initiativesFound across industries for data reporting, business intelligence, and operational analysis

In summary, a Data Science Project Manager oversees data science projects and manages teams, requiring project management skills and relevant certifications. A Data Analyst focuses on analyzing data and creating reports, with a more technical and analytical role. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

What are popular job titles related to Data Science Project Manager jobs in Florida? For Data Science Project Manager jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Science Project Manager jobs in Florida look for? The top searched job categories for Data Science Project Manager jobs in Florida are:
What cities in Florida are hiring for Data Science Project Manager jobs? Cities in Florida with the most Data Science Project Manager job openings:
Data Scientist Assistant Vice President

Data Scientist Assistant Vice President

Citigroup, Inc.

Tampa, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 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.

Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location:
Tampa Florida United States
Primary Location Full Time Salary Range:
$96,960.00 - $145,440.00
In addition to salary, Citi's offerings may also include, for eligible employees, 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.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
May 29, 2026
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 Citi's EEO Policy Statement and the Know Your Rights poster.