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Applied Mathematics Computer Science Jobs in Boca Raton, FL

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Data Scientist Gaming

Boca Raton, FL · On-site

... applied mathematics, or related discipline Preferred : • User segmentation • Proficiency with data mining, mathematics, and statistical analysis • Advanced pattern recognition and predictive ...

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All JobsApplied Mathematics Computer Science JobsApplied Mathematics Computer Science Jobs in Boca Raton, FL

Applied Mathematics Computer Science information

What is the difference between Applied Mathematics Computer Science vs Data Analyst?

AspectApplied Mathematics Computer ScienceData Analyst
Required CredentialsBachelor's or higher in applied math, computer science, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageTech firms, research institutions, universitiesCorporations, consulting firms, government agencies
Common Search & ComparisonApplied Mathematics Computer Science vs Data Analyst

Applied Mathematics Computer Science focuses on developing algorithms, modeling, and computational techniques, often requiring programming and mathematical skills. Data Analysts interpret data to provide insights, primarily using statistical tools. While both roles involve data and programming, Applied Mathematics Computer Science emphasizes algorithm development and complex modeling, whereas Data Analysts focus on data interpretation and reporting.

Is applied mathematics related to computer science?

Applied mathematics is closely related to computer science, as it provides foundational concepts such as algorithms, data analysis, and modeling that are essential in computing. Many computer science roles, including those in software development and data science, require strong mathematical skills and knowledge of mathematical tools like linear algebra and calculus.

What can I do with a degree in applied mathematics and computer science?

A degree in applied mathematics and computer science prepares individuals for roles such as data analyst, software developer, quantitative analyst, or systems engineer. These positions often require strong problem-solving skills, programming knowledge, and familiarity with tools like Python, R, or MATLAB, and may involve working in industries such as finance, technology, or research.

What can you do with a BS in applied mathematics computer science?

A BS in applied mathematics and computer science prepares graduates for roles such as data analyst, software developer, quantitative analyst, or systems analyst. These positions often require skills in programming, statistical analysis, and problem-solving, and may involve working with tools like Python, R, or SQL in various industries including finance, technology, and engineering.

What are popular job titles related to Applied Mathematics Computer Science jobs in Boca Raton, FL?

For Applied Mathematics Computer Science jobs in Boca Raton, FL, the most frequently searched job titles are:

What job categories do people searching Applied Mathematics Computer Science jobs in Boca Raton, FL look for?

The top searched job categories for Applied Mathematics Computer Science jobs in Boca Raton, FL are:

What cities near Boca Raton, FL are hiring for Applied Mathematics Computer Science jobs?

Cities near Boca Raton, FL with the most Applied Mathematics Computer Science job openings:

Applied Mathematics Computer Science jobs near you

Senior Computer Vision Engineer ID72408

Fort Lauderdale, FL • On-site

AgileEngine, LLC.
Software Development • 201 - 500 employees
Learn more about AgileEngine, LLC.external

$150 - $200/hr

Other

Posted 18 days ago

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Senior Computer Vision Engineer to own applied model development across computer vision, machine learning, and data science use cases — building and deploying solutions for object detection, image segmentation, classification, and video analysis. You will evaluate and fine-tune model architectures using PyTorch and TensorFlow, build broader ML models for forecasting and anomaly detection, and apply practical knowledge of computer vision hardware including cameras, sensors, and edge devices.

WHAT YOU WILL DO
  • Own the applied model development process across computer vision, AI/ML, and broader data science use cases;
  • Translate complex business problems into viable, practical, and scalable AI/ML solutions;
  • Evaluate various model options, train and fine-tune selected architectures, and rigorously analyze model performance;
  • Develop and deploy solutions for object detection, image segmentation, image classification, and video analysis;
  • Build and maintain models for time-series forecasting, anomaly detection, regression, clustering, and general data analysis;
  • Apply practical knowledge of real-world constraints—such as lighting, sensor limitations, and edge device compute power to ensure optimal data quality and robust model performance in production.
MUST HAVES
  • You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
  • 3 to 5 years of professional experience in Computer Vision, Machine Learning, Data Science, or a related field;
  • Degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline (or equivalent practical experience);
  • Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);
  • Strong, production-level proficiency in Python;
  • Deep hands-on experience with PyTorch and/or TensorFlow;
  • Proven track record of building and deploying models for detection, segmentation, classification, and image/video analysis;
  • Solid understanding of broader ML and data science techniques (time-series modeling, forecasting, anomaly detection, regression, and clustering);
  • Practical experience working with computer vision hardware, including cameras, sensors, and lighting setups;
  • Familiarity with deploying models on edge devices;
  • Strong understanding of how physical and real-world constraints impact data quality, model training, and inference;
PERKS AND BENEFITS
  • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
  • Exciting projects: Modern solutions with Fortune 500 and top product companies.
  • Flextime: Flexible schedule with remote and office options.
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