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Data Science Phd Jobs in Florida (NOW HIRING)

Lead Data Scientist

Aventura, FL · On-site

$175K - $195K/yr

Master's degree or PhD in Computer Science, Statistics, Economics, Mathematics, or a related quantitative field. * 5+ years of experience in data science with a proven track record of conceptualizing ...

Bachelor's degree or MS or PhD in quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science. * 7+ years of experience in data science or quantitative analytics ...

Senior Lead Data Scientist

Aventura, FL · On-site

$204K - $226K/yr

Master's degree or PhD in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics) with 8+ years of professional data science experience. * Deep expertise in multiple complex ...

Lead Data Scientist

Aventura, FL · On-site

$175K - $195K/yr

Master's degree or PhD in Computer Science, Statistics, Economics, Mathematics, or a related quantitative field. * 5+ years of experience in data science with a proven track record of conceptualizing ...

Bachelor's degree or MS or PhD in quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science. * 7+ years of experience in data science or quantitative analytics ...

Bachelor's degree or MS or PhD in quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science. * 7+ years of experience in data science or quantitative analytics ...

Bachelor's degree or MS or PhD in quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science. * 7+ years of experience in data science or quantitative analytics ...

Bachelor's degree or MS or PhD in quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science. * 7+ years of experience in data science or quantitative analytics ...

Associate Data Scientist

Fort Myers, FL · On-site +1

$55K - $55K/yr

What you will need: * BS/MS/PhD in Computer Science, Mathematics, Data Science, Statistics, Economics, or a related field. * 1+ years of experience applying data science and machine learning ...

As a Data Scientist at Striveworks, you'll design and lead development cycles for a vertically ... MS or PhD in mathematics, physics, statistics, machine learning, or related quantitative ...

Showing results 21-40

Data Science Phd information

What is a data science PhD?

A Data Science PhD is a doctoral-level degree focused on advanced research in data science, which combines elements of statistics, computer science, and domain expertise. Students in a Data Science PhD program typically work on developing new methods for analyzing large datasets, creating machine learning algorithms, and addressing complex problems in areas such as artificial intelligence, data mining, and predictive analytics. Graduates are prepared for careers in academia, research, and industry, where they can lead data-driven projects and contribute to advancements in the field.

What are the key skills and qualifications needed to thrive as a data science PhD?

To thrive as a Data Science PhD, you need advanced expertise in statistics, machine learning, data analysis, and a doctoral degree in a quantitative field. Proficiency in programming languages like Python or R, experience with big data frameworks (e.g., Spark, Hadoop), and familiarity with data visualization tools are typically required. Critical thinking, problem-solving, and strong communication skills help you translate complex data insights for diverse stakeholders. These skills are vital for driving innovative research, making data-driven decisions, and contributing impactful solutions in data-centric environments.

What are some common challenges faced by data science PhDs when transitioning from academia to industry roles?

Data Science PhDs often encounter challenges such as adapting to the faster pace and collaborative nature of industry projects compared to academic research. In industry, there is a greater emphasis on delivering practical solutions within tight deadlines and working closely with cross-functional teams like engineering and product management. Additionally, data science work in industry may require balancing technical rigor with business impact, often prioritizing actionable insights over exhaustive analysis. Building strong communication and stakeholder management skills can help ease this transition.

What can I do with a data science PhD?

A data science PhD prepares individuals for advanced roles in research, analytics, and machine learning across industries such as technology, finance, healthcare, and academia. Graduates can work as data scientists, machine learning engineers, research scientists, or data analysts, often utilizing programming languages like Python or R and tools such as TensorFlow or SQL. The degree also enables roles involving complex data modeling, statistical analysis, and developing innovative data-driven solutions.

What cities in Florida are hiring for Data Science Phd jobs?

Cities in Florida with the most Data Science Phd job openings:

Infographic showing various Data Science Phd job openings in Florida as of September 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 73% In-person, and 27% Remote job distribution.

Lead Data Scientist

Aventura, FL • On-site

$175K - $195K/yr

Full-time

Posted 18 days ago


Compass Real Estate rating

9.3

Company rating: 9.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

About the Role:

We are seeking a highly skilled and motivated Lead Data Scientist to join our data science team. In this role, you will leverage your deep expertise in machine learning, statistical modeling, and data analysis to solve our most complex problems. You will set the standard for data science excellence, architect scalable solutions, and help define the long-term analytical strategy. You will partner with senior business stakeholders and engineering leaders to uncover insights, develop cutting-edge data-driven solutions, and drive initiatives that directly shape company-wide strategic planning, resource allocation, and product innovation.

Responsibilities:

  • Lead the end-to-end development, validation, and deployment of large-scale predictive models and algorithms that inform strategic business decisions and market trend analysis.
  • Design and execute rigorous data-driven research to analyze the impact of multi-faceted factors on business outcomes, tackling the organization's most highly ambiguous and open-ended problems.
  • Collaborate deeply with senior business stakeholders and engineering partners to identify strategic opportunities, translate overarching business goals into complex analytical frameworks, and deliver high-impact actionable insights.
  • Synthesize and communicate highly complex methodologies, technical trade-offs, and strategic findings clearly to both C-level executives and technical audiences.
  • Act as a technical mentor to other data scientists, fostering a culture of continuous learning, rigorous peer review, and adherence to state-of-the-art methodologies.

Qualifications:

  • Master's degree or PhD in Computer Science, Statistics, Economics, Mathematics, or a related quantitative field.
  • 5+ years of experience in data science with a proven track record of conceptualizing, leading, and delivering highly successful, end-to-end data science projects.
  • Deep expertise in key data science domains (e.g., time-series forecasting, deep learning, causal inference).
  • Extensive practical experience architecting solutions using a broad range of methodologies (e.g., prediction, segmentation, NLP).
  • Demonstrated proficiency in Python and SQL for complex data manipulation, statistical analysis, and model development.
  • Hands-on experience productionizing machine learning models and strong familiarity with MLOps concepts and workflows.
  • Proven experience leading complex, cross-functional projects and applying advanced methodologies to solve ambiguous business problems.
  • Strong advocate for clean code principles, software engineering best practices, and technical standards.
  • Strong business acumen and strategic thinking, with a proven ability to understand the broader business context, evaluate tradeoffs, and align analytical projects with organizational goals.
  • Experience mentoring and guiding junior team members, overseeing project quality, and investigating root causes of complex technical challenges.
  • Exceptional communication and collaboration skills, with a proven ability to work effectively in a fast-paced, cross-functional environment.
  • Experience in the Real Estate industry or other market-driven domains is a plus.

Compensation: The base pay range for this position is $175,500-195,000 annually; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met.


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