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Remote Data Jobs in Ocoee, FL (NOW HIRING)

Katmai

Data Analyst III

Orlando, FL · On-site +1

$120K - $140K/yr

Master's preferred. • Eight (8) or more years of progressive data analytics, advanced data ... WORK ENVIRONMENT Work is expected to be remote; however, the company reserves the right to require ...

Katmai

Data Analyst III

Orlando, FL · Remote

$120K - $140K/yr

Master's preferred. · Eight (8) or more years of progressive data analytics, advanced data ... WORK ENVIRONMENT Work is expected to be remote; however, the company reserves the right to require ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

JLL

Data Analytics, Technical Director

Orlando, FL · Remote

This is a remote position with up to 25% domestic travel. This role leads team management and ... The Data Analytics Team Lead will be responsible for the oversight of the Data Analytics team and ...

MHI

Engineer III, Remote Commissioning

Lake Mary, FL · On-site +1

Remote Commissioning Engineer III Company Overview At Mitsubishi Power, we're not just building ... Monitor plant operating data and alarms to identify issues proactively. * Lead troubleshooting and ...

American Income Life

Remote Sales

Orlando, FL · Remote

Requirements This is a full-time remote role for an Entry Level Growth Management position ... The role will involve day-to-day tasks such as analyzing data, implementing growth hacking ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power our products and analytics. You'll own end-to-end data pipelines and API services that ingest ...

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All JobsData JobsRemote Data JobsRemote Data Jobs in Ocoee, FL

Remote Data information

See Ocoee, FL salary details

$40.4K

$145.1K

$214.1K

How much do remote data jobs pay per year?

As of Aug 31, 2026, the average yearly pay for remote data in Ocoee, FL is $145,093.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,400.00 and $149,500.00 per year, depending on experience, location, and employer.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

What are some common challenges faced when working as a remote data analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

Are there actually remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from a home or remote location. These roles typically require basic computer skills, attention to detail, and often use tools like spreadsheets or data management software. They are commonly offered as part-time or flexible schedules and are suitable for individuals seeking remote work opportunities.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. They are often part-time or flexible positions, suitable for individuals seeking remote work opportunities.

What are popular job titles related to Remote Data jobs in Ocoee, FL?

For Remote Data jobs in Ocoee, FL, the most frequently searched job titles are:

What job categories do people searching Remote Data jobs in Ocoee, FL look for?

The top searched job categories for Remote Data jobs in Ocoee, FL are:

What cities near Ocoee, FL are hiring for Remote Data jobs?

Cities near Ocoee, FL with the most Remote Data job openings:

Remote Data jobs near you
Infographic showing various Remote Data job openings in Ocoee, FL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $145,093 per year, or $69.8 per hour.

Applied Data Scientist

Orlando, FL • On-site, Remote

Professional Staffing Services
Recruiting and Staffing Services • 201 - 500 employees
Learn more about Professional Staffing Servicesexternal

Contractor

Re-posted 17 days ago

Job description

Applied Data Scientist - Contract to Hire

Location: Florida (Remote but will need to travel to Orlando for your first day, and for occasional meetings and trainings. )

***Also considering candidates in TX, GA, and NC. Must be willing to travel.

Employment Type: Full-Time, Pay: ~ 140K - 185K

Sponsorship: Not Available (Now or in the future)

About The Company

Our client drives innovative, datadriven insights and scalable AI solutions across the entertainment ecosystem. The Data Science team partners with data engineering, marketing, product, and executive teams to transform audience data into actionable strategies and operational products.

A successful Applied Data Scientist thrives on both analytical creativity and production rigor. As a key member of our client's team, you will own endtoend modeling and deployment work-from the conceptual framing of business problems to data ingestion, model development, and reliable production delivery. Your work will directly shape how our company delivers value to clients and internal stakeholders.

Position Summary & Location Requirements

This is a Florida-based role. While the day-to-day work offers remote flexibility, candidates must reside in the state of Florida or reside in GA, TX, and NC and meet the following travel requirements:

  • Day One: Ability to travel to Orlando, FL or the closest office local to your area for your first day/onboarding.
  • Ongoing: Ability to travel to Orlando or closest office local to your area on occasion for collaborative meetings, trainings, and to support business needs.

Key Responsibilities

In this role, you will bridge the gap between business strategy and technical execution. Specifically, you will:

  • Model & Solution Development: Translate ambiguous business questions into structured analytical and ML solutions. Develop, validate, and optimize models impacting forecasting, segmentation, personalization, recommendation, or operational efficiency.
  • Production & MLOps: Build productionready pipelines and deploy models into scalable environments using robust MLOps practices (CI/CD, automated testing, monitoring), ensuring long-term lifecycle maintenance.
  • Collaboration & Communication: Partner cross-functionally to bridge business requirements and technical design. Communicate insights and technical decisions clearly to both technical and nontechnical stakeholders.
  • Documentation & Standards: Document all models, pipelines, and deployment processes comprehensively to ensure maintainability, reproducibility, and knowledge sharing.
  • Innovation: Stay ahead of emerging tools, techniques, and frameworks in ML/AI to influence best practices across the organization.

Core Qualifications

  • Education: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Professional Experience: 5+ years of industry experience (excluding internships) in data science and machine learning, including proven ownership of model productization, monitoring, and iterative improvement.
  • Core ML Experience: 3+ years of building machine learning models for business applications (outside of academia), with deep expertise in both supervised and unsupervised learning algorithms.
  • Technical Stack:
  • Python: Strong programming skills with hands-on experience building, training, deploying, and monitoring ML models.
  • SQL: 2+ years of experience with database querying, data preparation, and analysis.
  • Data Warehousing: Working knowledge of large-scale platforms (e.g., Snowflake, SQL Server, BigQuery, Redshift).
  • Cloud Platforms: Familiarity with cloud environments (AWS, Azure, or GCP) and designing end-to-end ML pipelines from ingestion to production serving.
  • Execution Skills: Outstanding analytical skills to diagnose and resolve complex system issues, with a proven ability to manage multiple projects and prioritize tasks effectively.

What Sets You Apart (Preferred Qualifications)

  • Advanced Degree: Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Domain Expertise: Industry experience in entertainment or e-commerce, including domains such as theme parks, hospitality, live performances, ticketing, or retail marketplaces.
  • Advanced ML Architectures: Hands-on experience designing and deploying recommendation models (collaborative filtering, content-based, transformer-based) or working with data labeling, taxonomy design, and classification frameworks.
  • Generative AI: Familiarity with GenAI techniques, language modeling, or frameworks like AWS Bedrock and Hugging Face.
  • Deep MLOps Tooling: Advanced experience with tools like SageMaker, Lambda, Airflow, or MLflow, and the ability to guide architectural/strategic decisions for ML infrastructure.

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