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Senior Director Data Science Jobs in Florida (NOW HIRING)

Senior Lead Data Scientist

Aventura, FL · On-site

$204K - $226K/yr

We are seeking an exceptional Senior Lead Data Scientist to lead large-scale, cross-functional ... Deep expertise in multiple complex data science areas, such as XGBoost, deep learning, and NLP.

Build and maintain senior client relationships; identify expansion opportunities and translate them ... sciences exposure where compliance/auditability are critical. Experience delivering governed ...

Manager, Data Science

Miami, FL · On-site

$110 - $140/hr

The Manager, Data Science assists the director in managing the development and deployment of technology-based resources to promote systemwide optimization and standardization of clinical practice ...

CORE JOB SUMMARY The Manager, Data Science assists the director in managing the development and deployment of technology-based resources to promote systemwide optimization and standardization of ...

Sr. Data Scientist

Juno Beach, FL · On-site

$120 - $160/hr

The Senior Data Scientist - Geospatial serves as a technical leader responsible for designing and ... The position requires deep expertise in data science techniques and hands‑on experience with ...

Join our team at Haystack News as a Senior Data Scientist and become a pivotal force in redefining ... S. in Computer Science, Mathematics, Electrical Engineering, Statistics, Economics or Operations ...

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate & Summary ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

Showing results 41-60

Senior Director Data Science information

What does a senior director of data science do?

A Senior Director of Data Science leads and oversees the data science strategy for an organization, managing teams of data scientists, analysts, and engineers. They are responsible for aligning data initiatives with business goals, guiding advanced analytics projects, and ensuring the effective use of data to drive decision-making. This role often involves collaborating with other executives to develop data-driven solutions, establishing best practices, and setting the vision for how data science supports organizational growth.

How does a senior director of data science typically collaborate with other departments within an organization?

A Senior Director of Data Science frequently partners with leaders from product, engineering, marketing, and business strategy to align data-driven insights with organizational goals. They facilitate cross-functional collaboration by translating complex analytics into actionable business recommendations, ensuring that data science initiatives support top-level priorities. This role often leads a team of data scientists while serving as a bridge between technical teams and non-technical stakeholders, fostering a culture of data-informed decision-making throughout the company.

What are the key skills and qualifications needed to thrive as a senior director data science, and why are they important?

To thrive as a Senior Director Data Science, you need deep expertise in advanced analytics, machine learning, statistical modeling, and a strong educational background in a quantitative field, often with a master's or PhD. Familiarity with data platforms (like AWS, Azure), programming languages (such as Python, R), and leadership in deploying enterprise-level data solutions is vital, along with experience managing large teams. Exceptional strategic thinking, communication, and stakeholder management skills set top candidates apart in this role. These abilities are crucial for driving data-driven business strategies, leading high-performing teams, and ensuring impactful outcomes at the organizational level.

What is the difference between Senior Director Data Science vs Data Science Manager?

AspectSenior Director Data ScienceData Science Manager
ResponsibilitiesOversees multiple teams, sets strategic vision, aligns data science initiatives with business goalsManages day-to-day operations of data science teams, executes projects, and ensures deliverables
Required CredentialsAdvanced degree (Master's/PhD), extensive experience, leadership skillsRelevant degree, experience in managing data projects, technical expertise
Work EnvironmentStrategic, cross-departmental, executive collaborationOperational, team-focused, project management

The Senior Director Data Science typically holds a higher strategic leadership role, overseeing multiple teams and aligning data initiatives with company goals. In contrast, a Data Science Manager focuses on managing teams and executing projects. Both roles require strong technical backgrounds, but the Senior Director emphasizes strategic vision and leadership across departments.

What are popular job titles related to Senior Director Data Science jobs in Florida?

For Senior Director Data Science jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Senior Director Data Science jobs in Florida look for?

The top searched job categories for Senior Director Data Science jobs in Florida are:

What cities in Florida are hiring for Senior Director Data Science jobs?

Cities in Florida with the most Senior Director Data Science job openings:

Infographic showing various Senior Director Data Science job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Data Scientist Contractor (1099)

Wired People Inc

Orlando, FL • On-site

$165 - $262/hr

Other

Posted 29 days ago


Key responsibilities

  • Define analytical approaches, design research methodologies, and provide strategic recommendations to stakeholders.

  • Develop, validate, and productionize machine learning models using techniques such as predictive modeling, Random Forest, Bayesian hierarchical modeling, and geospatial analysis.

  • Work directly with external clients and government stakeholders to understand project needs, manage expectations, and deliver high-quality data science solutions.


Job description

WiredPeople is looking for a senior-level Data Scientist who can operate independently to drive advanced statistical modeling, complex analytics, and research initiatives. The ideal candidate brings a unique blend of deep technical expertise, strategic consulting experience, and a proven track record of working directly with external clients, particularly government stakeholders.

In this role, you will provide analytical leadership, define technical approaches, and translate highly complex data into actionable insights for non-technical audiences. Experience working with healthcare, public health, research, or government-related data projects is highly desirable.

We are currently seeking a highly skilled Senior Data Scientist Contractor (1099) to join our network and support complex analytics and research projects for our clients.

Key Responsibilities

  • Analytical Leadership: Independently define analytical approaches, design research methodologies, and provide strategic recommendations to stakeholders.
  • Advanced Statistical Modeling: Develop, validate, and productionize machine learning models, utilizing techniques such as predictive modeling, Random Forest, Bayesian hierarchical modeling, and geospatial analysis.
  • Client Consulting: Work directly with external clients and government stakeholders to understand project needs, manage expectations, and deliver high-quality data science solutions.
  • Data Translation: Effectively present complex technical findings, methodologies, and actionable insights to non-technical stakeholders and decision-makers.
  • Data Management & Pipeline Development: Oversee ETL/ELT pipeline development, ensuring robust data governance, access controls, and secure handling of sensitive health and regulated datasets.
  • Technical Execution: Utilize an advanced technology stack, including Azure Databricks, R, and SQL, to build and deploy scalable data science solutions.

Must-Have Qualifications

  • Cloud & Architecture: Intermediate to Advanced experience in Microsoft Azure, specifically Azure Databricks.
  • Programming: Advanced proficiency in R and strong SQL and database management experience.
  • Machine Learning: Proven experience with ML techniques, including predictive modeling and Random Forest.
  • Data Security & Ethics: Experience handling sensitive health, research, or highly regulated datasets. Must hold a current CITI Certification (or have the ability to quickly obtain one).
  • Development Tools: Advanced R Shiny experience and familiarity with GitHub and CI/CD pipelines (highly preferred).

Preferred Senior-Level Experience

  • Education: PhD or extensive applied Data Science experience in a related field.
  • Advanced Modeling: Deep expertise in Bayesian hierarchical modeling, spatial/geospatial modeling, model validation, and advanced statistical analysis.
  • Industry Experience: Prior consulting experience with external clients, particularly supporting government or public-sector clients.

Technical Environment Candidates with hands-on experience in the following technical areas will stand out:

  • Cloud Platform: Azure Databricks
  • Data Warehousing: Snowflake, PostgreSQL, or similar data warehouse environments
  • Data Engineering: ETL/ELT pipeline development
  • Databases: Relational and NoSQL databases
  • Data Management: Data governance and strict access controls
  • MLOps: Productionizing and deploying machine learning models

Additional Information

  • Job Type: Contract (1099)
  • Industry Focus: Healthcare, Public Health, Government Services

WiredPeople provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, WiredPeople complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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