2

Data Scientist Fulltime Jobs (NOW HIRING)

Data Scientist Location: Orlando, FL | Onsite Job Type: Full Time, Direct-Hire Salary: $70,000-$85,000 base (+ Bonus & Equity) Benefits : Free Healthcare, 401k match, PTO, HSA, FSA, Employee ...

Data Scientist Location: Orlando, FL | Onsite Job Type: Full Time, Direct-Hire Salary: $70,000-$85,000 base (+ Bonus & Equity) Benefits : Free Healthcare, 401k match, PTO, HSA, FSA, Employee ...

Data Scientist Location: Orlando, FL | Onsite Job Type: Full Time, Direct-Hire Salary: $70,000-$85,000 base (+ Bonus & Equity) Benefits : Free Healthcare, 401k match, PTO, HSA, FSA, Employee ...

Data Scientist Location: Orlando, FL | Onsite Job Type: Full Time, Direct-Hire Salary: $70,000-$85,000 base (+ Bonus & Equity) Benefits : Free Healthcare, 401k match, PTO, HSA, FSA, Employee ...

Radnor, PA Schedule: Full-Time, Day Schedule Compensation: $77,958.40 - $120,806.40 Why This Role Matters At Main Line Health, data science plays a critical role in transforming complex healthcare ...

Data Scientist Location: Orlando, FL | Onsite Job Type: Full Time, Direct-Hire Salary: $70,000-$85,000 base (+ Bonus & Equity) Benefits : Free Healthcare, 401k match, PTO, HSA, FSA, Employee ...

Data Scientist Location: Orlando, FL | Onsite Job Type: Full Time, Direct-Hire Salary: $70,000-$85,000 base (+ Bonus & Equity) Benefits : Free Healthcare, 401k match, PTO, HSA, FSA, Employee ...

Be Seen First

Data Scientist

Tampa, FL · On-site

$35 - $42/hr

You will analyze data, build predictive models, and generate insights to support business decisions. Entry-Level Data Scientist - Role Overview Full-time Training and deployment. Traing will take in ...

Data Scientist Location ... Orlando, FL (Onsite) Job Type: Full Time, Direct-Hire/Permanent Salary: $70,000 - 85,000 base ...

Data Scientist Location ... Orlando, FL (Onsite) Job Type: Full Time, Direct-Hire/Permanent Salary: $70,000 - 85,000 base ...

Data Scientist Location: Orlando, FL | Onsite Job Type: Full Time, Direct-Hire Salary: $70,000-$85,000 base (+ Bonus & Equity) Benefits : Free Healthcare, 401k match, PTO, HSA, FSA, Employee ...

Data Scientist General Information Requisition # 674 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Data Scientist Location: Orlando, FL | Onsite Job Type: Full Time, Direct-Hire Salary: $70,000-$85,000 base (+ Bonus & Equity) Benefits : Free Healthcare, 401k match, PTO, HSA, FSA, Employee ...

Data Scientist Location ... Orlando, FL (Onsite) Job Type: Full Time, Direct-Hire/Permanent Salary: $70,000 - 85,000 base ...

Data Scientist Location ... Orlando, FL (Onsite) Job Type: Full Time, Direct-Hire/Permanent Salary: $70,000 - 85,000 base ...

Data Scientist Location ... Orlando, FL (Onsite) Job Type: Full Time, Direct-Hire/Permanent Salary: $70,000 - 85,000 base ...

Data Scientist Location ... Orlando, FL (Onsite) Job Type: Full Time, Direct-Hire/Permanent Salary: $70,000 - 85,000 base ...

next page

Showing results 1-20

Data Scientist Fulltime information

See salary details

$37.5K

$122.7K

$196.5K

How much do data scientist fulltime jobs pay per year?

As of Jun 1, 2026, the average yearly pay for data scientist fulltime in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Scientist, you need strong analytical skills, proficiency in statistics and mathematics, and typically a degree in computer science or a related field. Mastery of programming languages like Python or R, experience with machine learning frameworks, and familiarity with data visualization and big data tools are essential. Effective communication, problem-solving, and curiosity help you translate complex data insights into actionable business strategies. These skills ensure you can extract valuable insights from data, drive informed decision-making, and deliver measurable business impact.

What are some common challenges Data Scientists face when working on cross-functional teams?

Data Scientists often collaborate with engineers, product managers, and business stakeholders to turn data insights into actionable solutions. A common challenge is bridging the gap between technical findings and business objectives, ensuring that analyses are both accurate and relevant to non-technical audiences. Additionally, aligning on data requirements and managing differing priorities across teams can require strong communication and adaptability. Building trust in data-driven recommendations is also key, as stakeholders may need context and clarity to act on insights.

What are Data Scientists?

Data Scientists are professionals who analyze and interpret complex digital data to help organizations make informed decisions. They use statistical methods, programming, and machine learning techniques to extract insights from large datasets. Data Scientists often work with data engineers and analysts to clean, process, and model data, and they communicate their findings to stakeholders through visualizations and reports. Their work is critical in fields like business, healthcare, finance, and technology, where data-driven decisions are essential.

What is the difference between Data Scientist Fulltime vs Data Analyst Fulltime?

AspectData Scientist FulltimeData Analyst Fulltime
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentCollaborates with data engineering, product teams, and management on complex projectsPrepares reports, visualizations, and supports decision-making processes
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Data Scientist Fulltime roles focus on building predictive models, advanced analytics, and machine learning, requiring deeper technical expertise. Data Analyst Fulltime positions primarily involve data cleaning, reporting, and visualization to support business decisions. Both roles are essential but differ in complexity and scope.

More about Data Scientist Fulltime jobs
What cities are hiring for Data Scientist Fulltime jobs? Cities with the most Data Scientist Fulltime job openings:
What states have the most Data Scientist Fulltime jobs? States with the most job openings for Data Scientist Fulltime jobs include:
Infographic showing various Data Scientist Fulltime job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 35% Physical, 62% Hybrid, and 3% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

$70K - $85K/yr

Full-time

Medical, Retirement, PTO

Posted yesterday


Job description

Job Title: Data Scientist
Location: Orlando, FL | Onsite
Job Type: Full Time, Direct-Hire
Salary: $70,000-$85,000 base (+ Bonus & Equity)
Benefits: Free Healthcare, 401k match, PTO, HSA, FSA, Employee Assistance Program, and more.
Why Join the Company:

  • Competitive compensation package including free healthcare options with bonus potential and equity after 1 year of employment.
  • The organization is shaping the future of financial services with cutting‑edge tech - innovating through advanced technology, proprietary data analytics, and tech‑driven investment strategies
  • They operate like a modern, multi-division fintech powerhouse - leading an entirely new category in longevity‑based investing—truly a unique place to build a career at the forefront of an emerging market

About the Data Scientist Role:

Seeking a Data Scientist to assist with designing, development, and deployment of advanced analytics and machine learning solutions. This role is ideal for someone who thrives in complex data environments, enjoys solving high‑impact business problems, and can translate analytical insights into actionable strategies.

Job Responsibilities of the Data Scientist:

  • Design, build, validate, and deploy machine learning models and advanced analytics solutions in production environments.
  • Analyze large, complex structured and unstructured datasets to uncover trends, patterns, and opportunities.
  • Apply advanced statistical modeling, hypothesis testing, and experimental design methodologies to answer key business questions.
  • Develop and maintain scalable Python (pandas, NumPy, scikit‑learn, etc.) and SQL code to process, analyze, and transform data.
  • Work closely with engineering and product teams to integrate analytics solutions into enterprise systems.
  • Create clear, compelling data visualizations using tools such as Tableau, Power BI, matplotlib, or seaborn.
  • Leverage cloud platforms (AWS, Azure, or GCP) and modern data stack technologies to improve model performance and data workflows.
  • Communicate insights and recommendations to technical and non‑technical stakeholders.

Preferred Experience of the Data Scientist:

  • 1+ years of experience in data science, machine learning, or advanced analytics roles
  • Proficiency in Python (e.g., pandas, scikit-learn, NumPy) and SQL
  • Experience building, validating, and deploying machine learning models
  • Understanding of statistical modeling, experimental design, and hypothesis testing
  • Experience working with large, complex datasets (structured and unstructured)
  • Strong communication skills with the ability to translate complex concepts into business‑friendly insights
  • Collaborative mindset with experience influencing stakeholders across technical and non‑technical teams
  • Curiosity, adaptability, and a passion for continuous learning

Bonus Experience of the Senior Data Scientist:

  • Familiarity with cloud platforms (AWS, GCP, or Azure) and modern data stacks
  • Data visualization skills (e.g., Tableau, Power BI, matplotlib, seaborn)
    #INMAY2026 #LI-HP1