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Data Science Project Manager Jobs in Miami, FL (NOW HIRING)

SOSi

Data Science Lead

Doral, FL · On-site

SOSi is seeking a Data Science Lead to support mission requirements for a structured approach to ... Personnel must have demonstrated experience in developing, deploying, and managing enterprise-level ...

SOSi

Data Science Lead

Doral, FL · On-site

SOSi is seeking a Data Science Lead to support mission requirements for a structured approach to ... Personnel must have demonstrated experience in developing, deploying, and managing enterprise-level ...

SOSi

Data Science Lead

Doral, FL

SOSi is seeking a Data Science Lead to support mission requirements for a structured approach to ... Personnel must have demonstrated experience in developing, deploying, and managing enterprise-level ...

Prescient Edge

Data Science Lead

Doral, FL · On-site

Personnel must have experience implementing Agile methodologies, managing analytic sprints, and overseeing collaboration between data science and data engineering teams. Strong leadership, strategic ...

Deloitte

Manager - Data Science / Data Lake

Miami, FL · On-site

Ability to lead projects or workstreams * Ability to manage and prioritize multiple tasks in a fast ... Experience supporting the design, development, or deployment of enterprise data science or ...

Munich Re

Data Scientist, AI

Fort Lauderdale, FL · On-site +1

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ... Contribute to projects that yield actionable insights the business can use to increase customer ...

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All JobsData Science Project JobsData Science Project Manager JobsData Science Project Manager Jobs in Miami, FL

Data Science Project Manager information

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$76

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

As of Jul 15, 2026, the average hourly pay for data science project manager in Miami, FL is $55.00, according to ZipRecruiter salary data. Most workers in this role earn between $47.60 and $64.38 per hour, depending on experience, location, and employer.

What is the hottest job of the 21st century?

Data Science Project Managers are in high demand due to the rapid growth of data-driven decision-making across industries. They oversee data projects, coordinate teams, and require skills in analytics tools, project management, and communication. The role is considered one of the most sought-after careers in the 21st century for its impact and earning potential.

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.

Is 40 too late for data science?

For a Data Science Project Manager, age is not a barrier to entering or advancing in the field. Success depends on skills, experience, and continuous learning, such as mastering tools like Python or R and understanding business needs, regardless of age.

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and big data tools, and roles in high-paying industries or senior management positions. Achieving this level often requires a combination of technical expertise, certifications, and leadership responsibilities.

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 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 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.

Can a data scientist become a project manager?

Yes, a data scientist can become a project manager by developing skills in leadership, communication, and project planning. Gaining experience in managing teams, understanding project workflows, and obtaining certifications like PMP can facilitate this transition.
What are popular job titles related to Data Science Project Manager jobs in Miami, FL? For Data Science Project Manager jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Data Science Project Manager jobs in Miami, FL look for? The top searched job categories for Data Science Project Manager jobs in Miami, FL are:
What cities near Miami, FL are hiring for Data Science Project Manager jobs? Cities near Miami, FL with the most Data Science Project Manager job openings:
Data Science Project Manager jobs near you
Data Science Lead

Data Science Lead

SOSi

Doral, FL • On-site

Full-time

Re-posted 29 days ago

Job description

Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job Description
SOSi is seeking a Data Science Lead to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.
Essential Job Duties:
  • The contractor shall oversee the development, deployment, and evaluation of predictive and prescriptive analytics to ensure alignment with mission objectives and operational needs.
  • The contractor shall establish a structured framework to distinguish data science and data engineering tasks, ensuring the effective allocation of resources and seamless collaboration between teams.
  • The contractor shall submit the Predictive Analytics Strategy & Implementation Report, detailing model development progress, algorithm validation, and mission integration.
  • The contractor shall coordinate to access compute and storage resources required to support large-scale model training and analytics workloads, including GPU-accelerated environments, high-performance object storage, and parallel data processing capabilities.
  • The contractor shall fund usage-based compute and storage costs through inter-task chargeback arrangements, as approved by the Government PM.

Qualifications
  • Active TS/SCI Clearance.
  • Master's degree in Data Science, Artificial Intelligence, Computer Science, or a related field, or;
    • Eleven (11) years of equivalent experience in leading AI/ML-driven analytics programs.
  • Personnel must have demonstrated experience in developing, deploying, and managing enterprise-level predictive analytics solutions, ensuring governance compliance, and implementing AI/ML models at scale.
  • Experience in mission-focused analytics, data-driven decision support, and integration of statistical and machine learning techniques is required.
  • Personnel must have experience overseeing sprint-based Agile development cycles and working within cloud-based data science environments such as AWS, Azure, or Databricks.
  • Possess the knowledge and capability to lead the development of predictive and prescriptive analytics, ensuring alignment with mission objectives and the integration of AI/ML-driven insights.
  • Proficient in advanced machine learning techniques, statistical modeling, and data science methodologies, with expertise in feature engineering, model validation, and data provenance tracking.
  • Experience implementing Agile methodologies, managing analytic sprints, and overseeing collaboration between data science and data engineering teams.
  • Strong leadership, strategic planning, and stakeholder engagement skills are required to drive mission-focused analytic innovation.

Preferred Qualifications:
  • Desirable but not required certifications include AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure AI Engineer Associate, or Certified Analytics Professional (CAP).

Additional Information
Work Environment
  • Normal office conditions

Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.

Apply