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Remote Data Science Jobs in Deltona, FL (NOW HIRING)

(unknown company)

Data Scientist

Orlando, FL · On-site +1

Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming ...

PROFESSIONAL STAFFING SERVICES GROUP INC

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Applied Data Scientist NEW 7-15-2026

Orlando, FL · Remote

$140K - $160K/yr

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 ...

PROFESSIONAL STAFFING SERVICES GROUP INC

Be Seen First

Applied Data Scientist NEW 7-15-2026

Orlando, FL · Remote

$140K - $160K/yr

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 ...

Katmai

Data Analyst III

Orlando, FL · On-site +1

$120K - $140K/yr

S. work authorization is required. • Bachelor's degree in information systems, Computer Science ... 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

S. work authorization is required. · Bachelor's degree in information systems, Computer Science ... WORK ENVIRONMENT Work is expected to be remote; however, the company reserves the right to require ...

IQVIA

Senior Data Team Lead (Remote)

Orlando, FL · Remote

$86K - $217K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

You'll own end-to-end data pipelines and API services that ingest, process, and expose high-quality data to internal customers (data science, analytics, product, and other engineering teams) and ...

SmartIPlace

Business Analyst[remote]

Orlando, FL · Remote

Remote (local to Florida) Visa: USC only Duration: 12 months Education ... Bachelor's degree in Data Science, Information Systems, Business Administration, or related studies ...

Valeris

Executive Case Manager (Remote)

Orlando, FL · Remote

Valeris works on behalf of life sciences companies to improve the patient experience so that ... provides the data and strategic insights, patient support services and healthcare provider ...

PEOPLEASE

Full Stack Developer- Remote

Orlando, FL · Remote

Develop and maintain integrations, APIs, and data workflows that support business processes and ... Bachelor's degree in Computer Science, Software Engineering, or Information Technology -- or ...

Home Physicians Group

RPM Specialist

Orlando, FL · Remote

Monitor patient vital signs and remote monitoring alerts. * Identify and promptly communicate high ... Review patient data and support RPM compliance. * Maintain accurate documentation in the EMR and ...

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All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Deltona, FL

Remote Data Science information

See Deltona, FL salary details

$20.9K

$93.2K

$177.8K

How much do remote data science jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote data science in Deltona, FL is $93,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,119.00 and $129,209.00 per year, depending on experience, location, and employer.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What are the key skills and qualifications needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.
More about Remote Data Science jobs

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

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

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

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

Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Deltona, FL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $93,156 per year, or $44.8 per hour.

Data Scientist

(unknown company)

Orlando, FL • On-site, Remote

Full-time

Re-posted yesterday

Job description

Company Description
We are passionate people with an expert understanding of the digital consumer, data sciences, global telecom business, and emerging financial services. And we believe that we can make the world a better place.
Job Description
Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming languages like Python (including: Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn), SQL (Postgresql). Experience with ElasticSearch, information/document retrieval, natural language processing is a plus. Experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods, outlier analysis) and parameters that affect their performance also helps. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Qualifications
Qualifications
• Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• At least 2 years' of experience in quantitative analytics or data modeling
• Some understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
• Fluency in these programming languages (Python, SQL), Javascript/HTML/CSS/Web Development nice to have.
• Familiarity with data science frameworks and visualization tools (Pandas, Visualizations (matplotlib, altair, etc), Jupyter Notebooks)
Additional Information
Responsibilities
• Analyze raw data: assessing quality, cleansing, structuring for downstream processing
• Design accurate and scalable prediction algorithms
• Collaborate with engineering team to bring analytical prototypes to production
• Generate actionable insights for business improvements
tion will be kept confidential according to EEO guidelines.

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