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Remote Meta Data Science Jobs in Florida (NOW HIRING)

Alignerr

Data Scientist (Masters)

Miami, FL · Remote

Remote * Commitment : 10-40 hours/week What You'll Do * Design Advanced Challenges : Craft complex, domain-specific data science problems spanning hyperparameter optimization, Bayesian inference ...

Clark Associates

Sr Data Scientist

Tampa, FL · On-site +1

... Science team. The Data Scientists are responsible for supplying statistical rigor to the ... This role can be remote in some US states (See below for remote work requirements) or based in one ...

NTT DATA Services

Senior Data Scientist

Tampa, FL · On-site +1

Working on projects leveraging your expertise in data science, artificial-intelligence and machine ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

NTT DATA Services

Senior Data Scientist

Tampa, FL · On-site +1

Key Responsibilities: • Working on projects leveraging your expertise in data science, artificial ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

AIS, LLC

Data Scientist

Miami, FL · On-site +1

Master's degree in data science, computer science, marine biology, or related field, OR Bachelor ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

UAB

DATA SCIENTIST LEAD

Tampa, FL · On-site +1

$104.05K - $169.08K/yr

... implement data science algorithms (e.g. regression, classification and clustering techniques ... No opportunity for remote work. Doctorate degree in a related field and four (4) years of related ...

Thurn Partners

Alternative Data Scientist

Miami, FL · On-site +1

... a data science or research role within a hedge fund, market maker, or investment bank ... Please do not apply if you are looking for a contract or remote work * Please ensure you meet the ...

Strategygen Co.

Principal Data Scientist

Jacksonville, FL · On-site +1

$130K - $165K/yr

This role sits at the intersection of regulatory data science, risk modeling, and federal program ... remote position. Compensation: $130,000.00 - $165,000.00 per year About StrategyGen Empowering ...

Outlier AI

Data Scientist (Remote)

Panama City, FL · On-site +1

We believe AI can only perform as well as the data it's trained on. That's why we work with ... Create and answer computer science-related questions to train AI models. * Review, analyze, and ...

SynergisticIT

Data Analyst (Remote)

Orlando, FL · On-site +1

Data Scientist (Remote) SYNERGISTICIT is aware that the job market is challenging because of tech layoffs. The job market is flooded with hundreds and thousands of laid-off jobseekers competing with ...

Socure

$130K - $150K/yr

Act as a Data Science advocate: deeply understand Socure's solutions (products, models and ... You thrive in a remote startup work environment and are excellent at setting clear goals and ...

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Remote Meta Data Science information

What are the key skills and qualifications needed to thrive as a Remote Meta Data Scientist, and why are they important?

To thrive as a Remote Meta Data Scientist, you need strong analytical skills, expertise in statistics and machine learning, and a degree in a quantitative field such as computer science or mathematics. Proficiency with data science tools like Python, R, SQL, and platforms such as TensorFlow or PyTorch is typically required, along with experience using collaboration tools for remote work. Excellent communication, self-motivation, and problem-solving abilities are essential soft skills for remote collaboration and translating insights to stakeholders. These skills ensure you can independently deliver impactful data-driven solutions while effectively collaborating across distributed teams.

How does a remote Meta Data Science role typically collaborate with cross-functional teams despite being off-site?

In a remote Meta Data Science position, collaboration with cross-functional teams—such as product managers, engineers, and designers—is primarily facilitated through virtual communication tools like video conferencing, chat platforms, and collaborative project management software. Regular stand-ups, sprint meetings, and asynchronous updates help ensure alignment on project goals and timelines. While remote work offers flexibility, it also requires proactive communication and documentation to maintain transparency and foster effective teamwork. Building relationships remotely may take extra effort, but companies like Meta provide structured onboarding and virtual community events to support team cohesion.

What is a Remote Meta Data Scientist?

A Remote Meta Data Scientist is a professional who works for Meta (formerly Facebook) in the field of data science, but does so from a remote location instead of a traditional office. They analyze large datasets, build predictive models, and provide insights to help Meta improve its products and user experience. Their work may involve machine learning, statistical analysis, and collaborating virtually with cross-functional teams. Remote Meta Data Scientists use tools such as Python, SQL, and data visualization software to solve complex business problems.

What is the difference between Remote Meta Data Science vs Remote Data Analyst?

AspectRemote Meta Data ScienceRemote Data Analyst
Required CredentialsBachelor's or higher in Data Science, Computer Science, or related fields; knowledge of programming languages like Python or RBachelor's degree in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative remote teams, often with data science and engineering departmentsRemote work with focus on data reporting, visualization, and business insights
Employer & Industry UsageTech companies, e-commerce, finance, and healthcareMarketing agencies, retail, finance, and consulting firms

Remote Meta Data Science involves advanced data modeling, machine learning, and statistical analysis, often requiring programming skills and a strong technical background. Remote Data Analysts focus on interpreting data, creating reports, and visualizations to support business decisions. While both roles work remotely and require data handling skills, Meta Data Scientists typically engage in more complex modeling, whereas Data Analysts concentrate on data interpretation and presentation.

What are the most commonly searched types of Meta Data Science jobs in Florida? The most popular types of Meta Data Science jobs in Florida are:
What are popular job titles related to Remote Meta Data Science jobs in Florida? For Remote Meta Data Science jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Meta Data Science jobs in Florida look for? The top searched job categories for Remote Meta Data Science jobs in Florida are:
What cities in Florida are hiring for Remote Meta Data Science jobs? Cities in Florida with the most Remote Meta Data Science job openings:
Remote Meta Data Science jobs near you

Data Science Expert - AI Content Specialist

Alignerr

Miami, FL • Remote

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Science Expert - AI Content Specialist
About the Role
What if your deep knowledge of machine learning, statistical inference, and data engineering could directly shape how the world's most advanced AI systems think and reason?
We're looking for experienced data scientists to join Alignerr's network of subject matter experts - working alongside leading AI research labs to stress-test, challenge, and improve cutting-edge language models. Your expertise becomes the benchmark these models are measured against.
This is a fully remote, flexible contract role built for professionals who want high-impact work on their own schedule.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
What You'll Do
  • Design Advanced Challenges
    - Craft complex, domain-specific data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
  • Author Ground-Truth Solutions
    - Develop rigorous, step-by-step reference solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as the gold standard for model evaluation
  • Audit AI-Generated Code
    - Evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for technical accuracy, efficiency, and best practices
  • Identify Reasoning Failures
    - Spot logical flaws in AI reasoning - data leakage, overfitting, mishandled class imbalances - and provide structured feedback that directly improves model performance
  • Work Independently
    - Complete task-based assignments asynchronously on a schedule that works for you
Who You Are
  • Formally trained
    - Master's (pursuing or completed) or PhD in Data Science, Statistics, Computer Science, or a quantitative field with heavy emphasis on data analysis
  • Domain-deep
    - Strong foundational knowledge across supervised/unsupervised learning, deep learning, NLP, or big data technologies (Spark, Hadoop)
  • Analytically articulate
    - Able to explain complex algorithmic concepts and statistical results clearly in writing
  • Precision-oriented
    - High attention to detail when reviewing code syntax, mathematical notation, and statistical conclusions
  • No prior AI experience required
    - Your subject matter expertise is what matters
Nice to Have
  • Experience with data annotation, data quality, or model evaluation workflows
  • Familiarity with production-level data science practices such as MLOps or CI/CD for models
  • Background in technical writing or academic publishing
Why Join Us
  • Work directly with industry-leading AI research labs on projects that push the frontier of what AI can do
  • Fully remote and asynchronous - work from anywhere, on your own schedule
  • Freelance autonomy with consistently meaningful, intellectually stimulating work
  • Ongoing contract opportunities as new AI projects launch
  • Contribute to AI development that has a real and lasting impact on how these systems reason about data science

Apply