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Computer Science Data Science Jobs in Boynton Beach, FL

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. * Master's degree preferred. * 1-3 years of professional experience in Data ...

Job Title: Data Science Location : Palm Beach , FL (Day One Onsite to Client Location) Experence : 8 + Years Hhands-on experience in data cleaning, transformation, and analysis using Python. The ...

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. * Master's degree preferred. * 1-3 years of professional experience in Data ...

Bachelor's degree in data science, Computer Science, Mathematics, Statistics, Engineering, or a related field, and 10+ years of relevant work experience; or a Master's degree in a related field and ...

Bachelor's degree in data science, Computer Science, Mathematics, Statistics, Engineering, or a related field, and 10+ years of relevant work experience; or a Master's degree in a related field and ...

Senior Data Product Manager

FL · On-site +1

$122K - $161K/yr

Bachelor's degree in computer science, Data Science, or Engineering * 12 + years of experience in leading end-to-end product management, collaborating with cross-functional stakeholders, and ...

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Showing results 1-20

Computer Science Data Science information

See Boynton Beach, FL salary details

$35.1K

$115K

$184.2K

How much do computer science data science jobs pay per year?

As of Sep 2, 2026, the average yearly pay for computer science data science in Boynton Beach, FL is $115,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,300.00 and $127,500.00 per year, depending on experience, location, and employer.

Can a computer science data scientist work as a data scientist?

A computer science data scientist can work as a data scientist because both roles involve analyzing data, developing algorithms, and using tools like Python or R. The main difference is that a data scientist often focuses more on statistical analysis and data visualization, while a computer science data scientist may have a stronger background in software development and machine learning. Skills in programming, data manipulation, and understanding of algorithms are essential for both positions.

Is a computer science data science degree good for data science?

A computer science data science degree provides a strong foundation in programming, algorithms, and data analysis, which are essential skills for data science roles. It often includes coursework in machine learning, statistics, and data management, making it well-suited for entry-level and advanced data science positions. Practical experience with tools like Python, R, and SQL can further enhance job prospects in the field.

What job categories do people searching Computer Science Data Science jobs in Boynton Beach, FL look for?

The top searched job categories for Computer Science Data Science jobs in Boynton Beach, FL are:

What cities near Boynton Beach, FL are hiring for Computer Science Data Science jobs?

Cities near Boynton Beach, FL with the most Computer Science Data Science job openings:

Infographic showing various Computer Science Data Science job openings in Boynton Beach, FL as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $115,028 per year, or $55.3 per hour.

Sophomore Data Scientist Geospatial/Geospatial Machine Learning Scientist

VDart, Inc.

Juno Beach, FL • On-site

Other

Posted 16 days ago


Job description

The Sophomore Data Scientist Geospatial supports the design, development, and delivery of analytical and modeling solutions using geospatial data. This role works closely with senior data scientists, GIS teams, engineers, and business stakeholders to analyze complex datasets, develop spatial analytics solutions, and translate geospatial information into actionable business insights.

The position provides hands-on opportunities to develop scalable GIS tools, analytical applications, spatial data products, and reusable geoprocessing capabilities while gaining experience with enterprise geospatial platforms, cloud technologies, and AI/ML services.

Key Responsibilities
  • Support end-to-end data science and geospatial analytics projects, including data preparation, exploration, feature engineering, modeling, testing, and documentation.
  • Develop analytical and machine learning solutions using structured, unstructured, and geospatial datasets.
  • Build and maintain spatial data pipelines, APIs, automation workflows, and geoprocessing tools.
  • Develop reusable GIS tools, analytical applications, and spatial data products to support business and operational requirements.
  • Perform spatial analysis, data visualization, statistical analysis, and predictive modeling.
  • Develop production-ready Python-based analytical workflows and applications under the guidance of senior technical staff.
  • Assist with integrating GIS capabilities with cloud platforms, enterprise data systems, APIs, and AI/ML services.
  • Support the development and optimization of spatial data processing and analytical workflows.
  • Participate in model validation, testing, monitoring, and performance optimization.
  • Collaborate with GIS professionals, data engineers, software engineers, and business stakeholders.
  • Document analytical methodologies, technical solutions, workflows, and results.
  • Communicate analytical findings and recommendations to both technical and non-technical stakeholders.
  • Learn and apply enterprise development standards, geospatial best practices, and modern data science methodologies.
Required Qualifications
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Geography, GIS, Engineering, or a related quantitative field; advanced degree preferred.
  • 2 4 years of professional experience in data science, analytics, machine learning, GIS, or a related field.
  • Experience applying data science techniques to GIS or geospatial problems preferred, particularly within the last 4 years.
  • Strong proficiency in Python and experience developing analytical or data processing workflows.
  • Working knowledge of SQL and experience working with large or complex datasets.
  • Understanding of statistical analysis, machine learning, predictive modeling, and data visualization.
  • Hands-on experience with geospatial data, spatial analytics, or GIS technologies.
  • Ability to develop analytical tools, applications, scripts, and automated workflows.
  • Strong problem-solving, analytical, communication, and collaboration skills.

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About V Dart

Sourced by ZipRecruiter

Industry

Software development, internet and it and professional, scientific, and technical services

Company size

1,001 - 5,000 Employees

Headquarters location

Alpharetta, GA, US

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