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Algorithm Scientist Jobs in Florida (NOW HIRING)

You will structure and analyze massive security telemetry datasets, build ML algorithms to ... The role requires 6+ years of data science experience applied specifically to cybersecurity ...

You will structure and analyze massive security telemetry datasets, build ML algorithms to ... The role requires 6+ years of data science experience applied specifically to cybersecurity ...

You will structure and analyze massive security telemetry datasets, build ML algorithms to ... The role requires 6+ years of data science experience applied specifically to cybersecurity ...

You will structure and analyze massive security telemetry datasets, build ML algorithms to ... The role requires 6+ years of data science experience applied specifically to cybersecurity ...

You will structure and analyze massive security telemetry datasets, build ML algorithms to ... The role requires 6+ years of data science experience applied specifically to cybersecurity ...

You will structure and analyze massive security telemetry datasets, build ML algorithms to ... The role requires 6+ years of data science experience applied specifically to cybersecurity ...

You will structure and analyze massive security telemetry datasets, build ML algorithms to ... The role requires 6+ years of data science experience applied specifically to cybersecurity ...

You will structure and analyze massive security telemetry datasets, build ML algorithms to ... The role requires 6+ years of data science experience applied specifically to cybersecurity ...

Applies scientific methods, algorithms, processes, and visualization capabilities to extract actionable insights and knowledge from structured and unstructured data and uses and seamlessly integrates ...

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Design, develop, and deploy machine learning models and algorithms to support UAS/sUAS threat ... Lead and support data science efforts across the full ML lifecycle, including data collection ...

Design, develop, and deploy machine learning models and algorithms to support UAS/sUAS threat ... Lead and support data science efforts across the full ML lifecycle, including data collection ...

The Senior Data Scientist will be responsible for building descriptive, predictive and prescriptive ... algorithms, clustering and classification and recommendation techniques. Integrate, store, and ...

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Algorithm Scientist information

What degree do you need to be an algorithm engineer?

Algorithm scientists typically hold at least a bachelor's degree in computer science, electrical engineering, mathematics, or related fields. Many roles require a master's or Ph.D. for advanced research and development, along with strong programming skills in languages like Python or C++ and knowledge of data structures and algorithms.

Is AI a high paid job?

Algorithm Scientists and other AI-related roles are generally well-paid due to high demand for skills in machine learning, data analysis, and programming. Salaries vary based on experience, location, and industry, but AI jobs often offer competitive compensation compared to other tech roles.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Lead Data Scientist, Machine Learning Director, or Chief Data Officer, with salaries exceeding $150,000 annually and sometimes reaching over $200,000 with experience and advanced skills in areas like deep learning and big data tools. These roles typically require extensive experience, advanced degrees, and expertise in programming, statistical analysis, and data management.

Is 40 too late for data science?

As an Algorithm Scientist, age is not a barrier to entering data science. Many professionals successfully transition into data science roles later in their careers by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Experience, continuous learning, and practical skills are more important than age in this field.

How does an Algorithm Scientist typically collaborate with cross-functional teams during the development process?

Algorithm Scientists frequently work alongside data engineers, software developers, and product managers to design and implement solutions. They are often responsible for communicating complex mathematical concepts in accessible terms to ensure alignment across the team. Regular meetings and code reviews are common, allowing for feedback and rapid iteration. This collaborative environment helps ensure that the algorithms developed are both technically sound and practically viable for real-world applications.

What are Algorithm Scientists?

Algorithm Scientists are professionals who design, analyze, and optimize algorithms to solve complex computational problems. They often work in fields like data science, artificial intelligence, finance, and engineering, developing new methods or improving existing ones for processing data efficiently. Their work involves rigorous mathematics, computer science, and research to ensure algorithms are accurate, scalable, and effective for specific applications. Algorithm Scientists may also collaborate with software engineers to implement their solutions in real-world systems.

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

To thrive as an Algorithm Scientist, you need a strong background in mathematics, statistics, and computer science, often supported by an advanced degree such as a Master's or Ph.D. in a related field. Proficiency with programming languages like Python or C++, machine learning libraries (e.g., TensorFlow, PyTorch), and experience with data analysis tools are typically required. Strong problem-solving abilities, analytical thinking, and effective communication skills help distinguish top performers in this role. These skills are vital for developing innovative algorithms that solve complex problems, ensuring practical, scalable solutions in technological environments.
What cities in Florida are hiring for Algorithm Scientist jobs? Cities in Florida with the most Algorithm Scientist job openings:
Data Scientist ID71658

Data Scientist ID71658

AgileEngine

Miami, FL • On-site

Full-time

Posted 15 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/Lead Data Scientist to develop predictive models and quantitative analytics that power risk-based vulnerability prioritization within a large-scale enterprise security program. You will structure and analyze massive security telemetry datasets, build ML algorithms to eliminate scanning noise and false positives, and establish unified data dashboards to drive adoption of data-driven security governance. The role requires 6+ years of data science experience applied specifically to cybersecurity, vulnerability management, or financial risk models.
WHAT YOU WILL DO
- Develop predictive models and quantitative analytics to prioritize vulnerabilities based on contextual risk and business impact;
- Structure and analyze massive outputs of security data from across the enterprise ecosystem to support the ASPM framework;
- Create machine learning algorithms or statistical models to automatically identify and filter out scanning noise and false positives;
- Establish a unified data delivery structure and dashboards to drive the adoption of data-driven security governance.
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;
- 6+ years of commercial data science experience, operating completely autonomously with no required supervision;
- Advanced proficiency in Python, R, and SQL;
- Experience with machine learning frameworks (TensorFlow, PyTorch) and data visualization tools;
- Prior commercial experience applying data science specifically to cybersecurity, vulnerability management, or financial risk models;
- Upper-intermediate English level.
NICE TO HAVES
- Familiarity with Cloud Security Posture Management (CSPM) data outputs (e.g., Wiz).
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.