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Algorithm Scientist Jobs in Florida (NOW HIRING)

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 ...

Data Scientist

Orlando, FL ยท 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 ...

Job Title: Data Scientist Location: Austin, TX 78757 (or) Tampa, FL 33602 - Remote Full-Time As ... algorithms, forecasting and inventory optimization * 5+ years of experience in deep learning ...

Bioinformatics Scientist

Winter Park, FL ยท On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $150,000 - $180,000 Location: San Francisco, CA ... Develop novel algorithms that turn raw sequencing data into fast, intuitive, and accurate insights.

Bioinformatics Scientist

Winter Park, FL ยท On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $150,000 - $180,000 Location: San Francisco, CA ... Develop novel algorithms that turn raw sequencing data into fast, intuitive, and accurate insights.

Data Scientist

Tampa, FL ยท On-site

$130K - $140K/yr

Job Title: Data Scientist Location: Austin, TX 78757 (or) Tampa, FL 33602 - Onsite Full-Time As ... algorithms, forecasting and inventory optimization * 5+ years of experience in deep learning ...

Data Scientist

Miami, FL ยท Hybrid

$10K - $250K/mo

Architect, build, maintain, and improve new and existing suite of algorithms and their underlying ... Work closely with data scientists and analysts to create and deploy new product features

Collaborate with senior data scientists to fine-tune, optimize and ensure the scalability of models and algorithms * Document projects, including business objectives, data gathering and processing ...

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 ...

The Data Scientist is primarily responsible for supporting/leading AI-driven initiatives that will ... Skills required include, but are not limited to: * building machine learning algorithms * data ...

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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

Grant-Donahue Consulting

Coral Springs, FL โ€ข On-site

Other

Posted 18 days ago


Job description

  • High School Diploma or equivalent
  • The ability to fluently read, write, understand and communicate in English
  • 3 years of relevant experience, medical device industry or equivalent industry experience is preferred

Preferred Requirements:

  • Demonstrable expertise in algorithm development, including, coding, algorithm testing, algorithm validation, and preparing algorithm module for integration into product software / code-base
  • Good working knowledge in ML algorithm development using image-based data and image processing is desirable
  • Ability to conduct experiments to collect data and/or to support algorithm development
  • Advanced expertise in software and other applications used by data scientist for algorithm development
  • Aptitude for problem-solving, strong learning agility, and demonstrable ability to collaborate with other quantitative partners
  • Exceptional written and verbal communication skills including the ability to collaborate effectively with multidisciplinary teams
  • Well-developed organizational skills and the ability to manage several projects simultaneously