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Internship Applied Scientist Machine Learning Jobs in Florida

Socket.dev

Data Scientist III- Operations

Clearwater, FL · On-site

$120 - $170/hr

... applied data science, machine learning, or quantitative analytics experience. Relevant internship, co‑op, or graduate research may count toward experience. * Hands‑on experience with SQL on a ...

ENSCO, Inc.

Machine Learning Engineer

Melbourne, FL · On-site

Work closely with other senior scientist to understand problem sets, physical data feature sets and ... Bachelors degree in Machine Learning, Data Science, Mathematics, or equivalent in a related ...

Qfanalytics

Machine Learning Engineer

Miami, FL · On-site

$80 - $120/hr

Knowledge of applied mathematics, including convex optimization, quadratic programming, and partial ... in Machine Learning; Experience with deep learning frameworks like TensorFlow or PyTorch;

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Internship Applied Scientist Machine Learning information

What does an internship applied scientist in machine learning do?

An Internship Applied Scientist in Machine Learning works on real-world projects involving the design, development, and evaluation of machine learning models and algorithms. Their responsibilities typically include data analysis, building predictive models, experimenting with new techniques, and collaborating with engineers and researchers to solve complex problems. Interns gain hands-on experience with tools like Python, TensorFlow, or PyTorch, and contribute to advancing the company's AI capabilities. The role requires a strong foundation in mathematics, statistics, and computer science, as well as the ability to communicate findings to both technical and non-technical stakeholders.

What types of projects do internship applied scientists in machine learning typically work on, and how do they contribute to the team's goals?

Internship Applied Scientists in Machine Learning often collaborate with multidisciplinary teams to tackle real-world problems using data-driven approaches. Typical projects might include developing and fine-tuning machine learning models, conducting experiments to validate hypotheses, or assisting in the deployment of algorithms into production systems. Interns are expected to contribute fresh perspectives, help with data preprocessing, and perform thorough model evaluations. Through these projects, interns gain hands-on experience while directly supporting the team's research and product development objectives.

What are the key skills and qualifications needed to thrive as an internship applied scientist in machine learning, and why are they important?

To thrive as an Internship Applied Scientist in Machine Learning, you need a solid background in mathematics, statistics, and computer science, often supported by coursework or research experience in machine learning and data analysis. Familiarity with tools such as Python, TensorFlow, PyTorch, and experience working with large datasets are highly valued, along with knowledge of version control systems like Git. Strong problem-solving skills, curiosity, and the ability to communicate complex concepts clearly set top candidates apart. These competencies are crucial for effectively designing, implementing, and presenting machine learning solutions that address real-world challenges.

What is the difference between Internship Applied Scientist Machine Learning vs Internship Data Scientist?

AspectInternship Applied Scientist Machine LearningInternship Data Scientist
Required CredentialsRelevant degrees in Computer Science, Data Science, or related fields; knowledge of ML frameworksDegrees in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentResearch and development teams, focus on ML model developmentBusiness teams, focus on data analysis and insights
Employer & Industry UsageTech companies, AI-focused organizationsVarious industries including tech, finance, healthcare
Comparison Search IntentUnderstanding roles in ML research and developmentUnderstanding data analysis and business insights roles

Internship Applied Scientist Machine Learning roles focus on developing and applying machine learning models, often in research settings. In contrast, Internship Data Scientist positions emphasize analyzing data to generate insights for business decisions. Both roles require strong analytical skills and relevant educational backgrounds, but they differ in their primary focus and work environment.

What are the most commonly searched types of Applied Scientist Machine Learning jobs in Florida?

The most popular types of Applied Scientist Machine Learning jobs in Florida are:

What are popular job titles related to Internship Applied Scientist Machine Learning jobs in Florida?

For Internship Applied Scientist Machine Learning jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Internship Applied Scientist Machine Learning jobs in Florida look for?

The top searched job categories for Internship Applied Scientist Machine Learning jobs in Florida are:

What cities in Florida are hiring for Internship Applied Scientist Machine Learning jobs?

Cities in Florida with the most Internship Applied Scientist Machine Learning job openings:

Internship Applied Scientist Machine Learning jobs near you

Principal / Sr. Principal Data Scientist - Machine Learning and Predictive Analytics

Northrop Grumman Corp. (AU)

Melbourne, FL • On-site

$120 - $150/hr

Other

Posted 7 days ago

Northrop Grumman rating

8.2

Company rating: 8.2 out of 10

Based on 364 frontline employees who took The Breakroom Quiz

90th of 540 rated manufacturers

Job description

As a Principal/Sr. Principal Data Scientist, you will lead the development and implementation of machine learning and predictive analytics solutions to drive business growth and innovation. You will work closely with cross-functional teams to identify business opportunities and develop data-driven solutions to drive business outcomes. You will also be responsible for mentoring and leading junior data scientists and engineers to develop their skills and expertise.

Key Responsibilities:

  • Lead the development and implementation of machine learning and predictive analytics solutions to drive business growth and innovation.
  • Collaborate with cross-functional teams to identify business opportunities and develop data-driven solutions to drive business outcomes.
  • Mentor and lead junior data scientists and engineers to develop their skills and expertise.
  • Develop and maintain complex data pipelines and models to support business needs.
  • Stay up-to-date with emerging trends and technologies in machine learning and predictive analytics.

Requirements:

  • Ph.D. in Computer Science, Statistics, Mathematics, or related field.
  • 10+ years of experience in machine learning and predictive analytics.
  • Proven track record of developing and implementing successful machine learning and predictive analytics solutions.
  • Strong leadership and mentoring skills.
  • Experience with AWS and cloud-based technologies.
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What Northrop Grumman employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Northrop Grumman

Sourced by ZipRecruiter

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible.

Industry

Space research administration

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

Year founded

1939

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