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Phd In Statistics Jobs in Florida (NOW HIRING)

USAA

Model Validator (Mid-Level) - Fraud/AML

Tampa, FL · Hybrid

$93K - $179K/yr

OR advanced degree (e.g., Master's, PhD) in a quantitative field, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or Related Field with ...

Truist

Fraud Data Scientist II

Orlando, FL · On-site

... statistical and predictive analytics, machine learning modeling, etc.) to provide actionable ... degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science ...

USAA

Model Validator (Mid-Level) - Fraud/AML

Tampa, FL · Hybrid

$93K - $179K/yr

OR advanced degree (e.g., Master's, PhD) in a quantitative field, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or Related Field with ...

University of Miami

Data Analyst 3

Coral Gables, FL

At minimum, this position requires a bachelor's degree in economics, health policy, public policy, health services research, statistics, or a related quantitative field. A master's degree or PhD in ...

Vivo HealthStaff

Bioinformatics Scientist

Winter Park, FL · On-site

$170K - $190K/yr

PhD in Bioinformatics, Computer Science, Statistics, Biology, Biochemistry, Physics, or a closely related field. * Experience: 3+ years of experience developing production bioinformatics pipelines.

Vivo HealthStaff

Bioinformatics Scientist

Orlando, FL

$150K - $180K/yr

PhD in Bioinformatics, Computer Science, Statistics, Biology, Biochemistry, Physics, or a closely related field. * Experience: 3+ years of experience developing production bioinformatics pipelines.

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Phd In Statistics information

What is the difference between Phd In Statistics vs Data Scientist?

AspectPhd In StatisticsData Scientist
Required CredentialsTypically a PhD in Statistics or related fieldOften a bachelor's or master's degree in a quantitative field; some roles prefer a PhD
Work EnvironmentAcademic, research institutions, or specialized analytics teamsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, government, and industry R&DBusiness analytics, product development, and data-driven decision making
Common Search & ComparisonYesYes

While a Phd In Statistics focuses on advanced research, theoretical development, and academic roles, Data Scientists apply statistical and machine learning techniques to solve practical business problems. Both roles require strong analytical skills, but Data Scientists often work in more applied, industry-focused environments, whereas PhD holders may pursue research or academic careers.

What can you do with a PhD in statistics?

A PhD in statistics prepares individuals for advanced roles in data analysis, research, and consulting across industries such as healthcare, finance, technology, and government. Graduates often work as data scientists, statisticians, quantitative analysts, or research scientists, utilizing skills in statistical modeling, programming, and data management. The degree also enables careers in academia and research institutions, often requiring proficiency in tools like R, Python, or SAS.

How much can you make with a PhD in statistics?

A PhD in statistics typically leads to high-paying roles such as data scientist, quantitative analyst, or research scientist, with salaries often ranging from $90,000 to over $150,000 annually depending on experience, industry, and location. Advanced skills in programming, statistical software, and data analysis increase earning potential in this field.

Is a PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in research, data science, and academia, often requiring strong analytical and programming skills. While it offers high-level expertise and potential for higher salaries, it also involves significant time and financial investment, and job prospects depend on industry demand and individual specialization.

Is AI replacing statisticians?

AI is transforming the role of statisticians by automating routine data analysis tasks and enabling more complex modeling, but it does not replace the need for expert statistical judgment, interpretation, and domain knowledge. Statisticians are increasingly using AI tools and programming languages like R or Python to enhance their work, making their skills still essential in designing studies and ensuring data quality.
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Infographic showing various Phd In Statistics job openings in Florida as of June 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution.
Senior Data Scientist

Senior Data Scientist

Haystack News

Fort Lauderdale, FL

Full-time

Posted 6 days ago

Job description

Haystack News, the number one destination for news on streaming platforms, is looking for a Sr Data Scientist to join our team. Haystack is trusted by over 30 million viewers and is among the fastest-growing TV news companies in the world.
Join our team at Haystack News as a Senior Data Scientist and become a pivotal force in redefining user experiences through cutting-edge algorithm enhancements. In this role, you'll leverage your advanced statistical analysis, modeling, causal inference, experimental design (A/B testing) and data analytics expertise to drive substantial improvements in user engagement and retention, directly impacting our product's success. This is an exceptional opportunity to showcase your robust problem-solving capabilities and to thrive in a collaborative environment, working alongside a team of passionate professionals dedicated to innovation and excellence. Be part of a dynamic workplace where your contributions make a meaningful difference and help shape the future of news consumption.
MINIMUM QUALIFICATIONS
  • PhD or M.S. in Computer Science, Mathematics, Electrical Engineering, Statistics, Economics or Operations Research with 5+ years of professional experience in data science, machine learning or related quantitative field
  • 3+ years of professional experience with large-scale online ranking/recommender systems (for news feeds, shopping, ads, music, etc).
  • Deep expertise in statistical inference and experimental design: hypothesis testing, power/sample size calculations, variance reduction, etc.
  • Proficiency in causal inference methods to measure product impact.
  • Proven ability to translate offline analysis into product decisions and measurable improvements in online metrics.
  • Fluency in the Python analytics stack (pandas, NumPy), statistical modeling (statsmodels or scikit-learn) and machine learning packages such as LightGBM and XGBoost.
  • Strong experience with SQL (e.g. postgres, snowflake, etc).

PREFERRED QUALIFICATIONS:
  • Experience working on consumer-facing products with millions of users.
  • Hands-on experience with orchestration/transformation tools (e.g. dbt and Airflow).
  • Experience with deep learning and being familiar with tools such as PyTorch or TensorFlow.
  • Hands-on development of products/tools incorporating GenAI, LLMs, RAG, and/or Agents.

RESPONSIBILITIES
  • Build statistical and machine learning models to improve content discovery and user engagement.
  • Work closely with ML engineers to translate models and insights into production systems.
  • Have curiosity and apply analytical skills to dive deep into data to find key insights that would impact the business.
  • Apply causal inference methods to understand the impact of potential product changes.
  • Define and build new ML features using text and multimodal embeddings and GenAI.
  • Validate offline learnings with online outcomes through AB testing. Design, execute, and analyze experiments to prove product change attribution.

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