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Internship Applied Scientist Machine Learning Jobs in Alabama

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

$139K - $168K/yr

D. in Computer Science, Engineering or a related technical field * Strong understanding of ... Previous software engineering experience via an internship, work experience, or coding competition

$139K - $168K/yr

D. in Computer Science, Engineering or a related technical field * Strong understanding of ... Previous software engineering experience via an internship, work experience, or coding competition

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Internship Applied Scientist Machine Learning information

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 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 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 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 are the most commonly searched types of Applied Scientist Machine Learning jobs in Alabama? The most popular types of Applied Scientist Machine Learning jobs in Alabama are:
What are popular job titles related to Internship Applied Scientist Machine Learning jobs in Alabama? For Internship Applied Scientist Machine Learning jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Internship Applied Scientist Machine Learning jobs in Alabama look for? The top searched job categories for Internship Applied Scientist Machine Learning jobs in Alabama are:
Data Scientist / Machine Learning Engineer

Data Scientist / Machine Learning Engineer

Naphcare, Inc.

Birmingham, AL

Full-time

Posted 9 days ago


NaphCare rating

6.2

Company rating: 6.2 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

701st of 890 rated healthcare providers


Job description

Overview

We are looking for a Data Scientist / Machine Learning Engineer to join our team on-site with the NaphCare Charitable Foundation located in Birmingham, AL 35216.

Candidates local to Birmingham preferred. US Citizen or Green Card candidates only.

As a Data Scientist at the NaphCare Charitable Foundation, you will work with advanced hardware, software, and techniques to develop computational algorithms and statistical methods that find patterns and relationships in large volumes of healthcare data. The core contributions of the Data Scientist will consist of collaborating with a multi-disciplinary team, defining experimentation setups, researching data-driven solutions to the problems identified, providing technical mentorship to other team members, and communicating results to stakeholders. The Data Scientist will join a team of engineers, researchers and product owners to deliver innovative, automated, and technologically advanced healthcare solutions through the integration of predictive models and analytical insight.


Responsibilities

  • Design and implement metrics, pipelines and tools that will enable engineers to achieve their data insights.
  • Make strategic recommendations on data collection, integration and retention incorporating business requirements and knowledge of best practices.
  • Keep up to date on related technologies and frameworks, and propose new ones that the team could leverage.
  • Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
  • Summarize and clearly communicate data analysis assumptions and results
  • Identify shifts, determine new ways of looking at data, and creatively drive improvements in products.
  • Build and prototype analysis pipelines to iteratively test hypothesis.
  • Interact cross-functionally, making business recommendations to stakeholders.

Qualifications

  • Experience with distributed processing technologies
  • Experience with human-in-the-loop machine learning solutions
  • Medical Industry experience
  • Proven excellence in leading and contributing to Data Science projects.
  • Proven track record of pushing state of the art in the data science / machine learning space.
  • Strong communication, interpersonal skills and the fortitude to accomplish your goals.
  • Experience in leading discovery with stakeholders to identify requirements and the expected outcomes.
  • Capability to educate the organization both from technical and the business perspectives on new approaches, such as testing hypotheses and statistical validation of results.
  • Demonstrate the following scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, fairness and aptitude for original research.
  • Comfortable working in a team environment.
  • Expert level in machine learning architecture and model development.
  • Strong working knowledge of statistical frameworks (Pandas, NumPy/SciPy, scikit-learn) (3+ years)
  • Strong working knowledge of machine learning frameworks (PyTorch, TensorFlow) (3+ years)
  • Mastery in building SQL queries
  • Experience monitoring the full life cycle of models
  • Experience with ETL pipelines
  • Strong verbal and written communication skills
  • Strong problem-solving skills to help refine problem statements and figure out how to solve them with the available data
  • Curious and driven to solve complex problems
  • Smart but humble, action oriented

Required Education

Ph.D. or Masters in the fields of Data Science, Engineering, Analytics, Mathematics, Computer Science, Statistics, Machine Learning, or other quantitative fields.

NaphCare is a family owned, healthcare technology company that has been delivering high quality healthcare to correctional facilities across the nation for over 35 years. Come join our team of over 7000 employees and growing! NaphCare pays well, offers outstanding benefits, and has an incredibly engaged corporate support team to make sure you have what you need to be truly excellent at what you do. At NaphCare Charitable Foundation, our vision is clear: drive scientific breakthroughs and societal upliftment through transformative research, educational programs, and scholarships. We conduct critical scientific research to address and understand health trends among justice-involved populations. Our dedication to innovation leads us to develop state-of-the-art patient care technology, setting new standards in healthcare efficiency and effectiveness.

NaphCare partners with correctional facilities to provide proactive, patient-focused healthcare.

NaphCare Full Time Benefits:

Prescriptions free of charge through our health plan

Health, dental & vision insurance that starts day one

We offer low cost benefits to our employees and their families

Employment Assistance Program (EAP) services

100% vested 401K and Roth with company contribution that starts day one

Tuition Assistance

Referral bonuses

On-site education

Free Continuing Education!

Term life insurance at no cost to the employee

Generous paid time off & paid holidays

With NaphCare, you'll play a critical role in our continuing mission to be the leading provider of quality healthcare in the correctional industry. If you want a career that will make a difference, choose the company that is different.

We support your growth and internal promotion. Once hired, we encourage our employees to continue to seek opportunities for advancement and leadership.

Equal Opportunity Employer: disability/veteran


What NaphCare employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


NaphCare logo

About NaphCare

Sourced by ZipRecruiter

NaphCare partners with correctional facilities to provide proactive, patient-focused healthcare. We recognize that we serve a unique and diverse patient population, and our onsite teams take pride in bringing excellence in care to a population in great need. Be part of a world-class team of professionals who are revolutionizing correctional healthcare. NaphCare offers competitive compensation! Our full-time teammates have a top-notch benefits package, which includes medical, dental, vision, FREE prescriptions, flexible spending account, company-paid life and AD&D insurance with voluntary life and AD&D options, ST & LT disability, 401(k) company contribution, 20 days Paid Time Off, paid holidays, tuition assistance, employee referral bonuses, etc.

Industry

Health care and social assistance

Company size

1,001 - 5,000 Employees

Headquarters location

Birmingham, AL, US

Year founded

1989