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Data Scientist Intern

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    Research & Development
  • Nashville
    Remote

AI generated summary

  • You should be enrolled in a related program, know Python, SQL, or R, and understand ML concepts. Strong analytical, communication, and organizational skills are essential, along with a collaborative spirit.
  • You will develop and document ML models, enhance model quality, execute test plans, perform testing on features, and track defects during testing.

Requirements

  • Currently enrolled in a related program
  • Knowledge in programming languages such as Python, SQL, or R. Familiarity with ML libraries like scikit-learn, PyTorch, or TensorFlow.
  • Basic understanding of software development, Machine Learning and testing concepts.
  • Strong analytical and problem-solving skills.
  • Strong verbal and written communication skills
  • Self-starter with a high level of curiosity
  • High level of integrity and professionalism
  • Collaborative with peers and cross-functional teams
  • Strong organizational skills, consistently producing quality work

Responsibilities

  • Develop and document Machine Learning models for accuracy, performance, and reliability.
  • Work closely with the team to understand requirements and enhance model quality.
  • Assist in the development and execution of test plans, test cases, and test scripts for the project.
  • Perform manual/auto testing on new features and functionalities.
  • Help identify, report, and track defects and issues found during ML models testing.

FAQs

What is the primary focus of the Data Scientist Intern position at HealthStream?

The Data Scientist Intern will focus on developing and documenting Machine Learning models, testing their accuracy and performance, and assisting with quality improvements in a healthcare SaaS environment.

What qualifications are required for this internship?

Candidates should be currently enrolled in a related program and have knowledge of programming languages such as Python, SQL, or R, along with familiarity with ML libraries like scikit-learn, PyTorch, or TensorFlow.

Is prior experience in healthcare necessary for this role?

No prior experience in healthcare is necessary, but a willingness to learn about the healthcare industry is important for the role.

What kind of mentorship will the intern receive?

The intern will work under the supervision of Account Management leadership and receive additional mentorship and job shadowing with experienced Account Managers.

Are there opportunities for career growth within HealthStream?

Yes, HealthStream encourages career growth opportunities and continuous learning for its employees.

How does HealthStream support the mental and physical health of its employees?

HealthStream provides mental and physical health support, wellness workshops, and promotes a supportive work environment that prioritizes employee well-being.

What qualities are important for success in this internship?

Strong verbal and written communication skills, a self-starter attitude, high integrity, collaborative spirit, and strong organizational skills are essential for success in this role.

Will the intern be involved in customer relationships or sales activities?

The internship primarily focuses on data science and machine learning, but exposure to sales activities and customer relationship management may be part of the experience.

Technology
Industry
501-1000
Employees
1990
Founded Year

Mission & Purpose

HealthStream is the #1 advisor for developing people in healthcare, working with 4,000+ healthcare organizations for the past 30 years to cultivate a more competent and energized workforce. As healthcare organizations seek ways to do more with less, developing next-level people is integral to their success. HealthStream works side-by-side with healthcare organizations to ensure their people are confident, competent, and credentialed, ready to execute at the highest level. All of our HealthStreamers, across all teams and roles, share this vision of improving the quality of care by developing the people who deliver care. At HealthStream, we value continuous improvement – of our products, our systems, and our team members. Our collaborative work environment encourages innovation and allows us to solve big problems. With a hybrid work policy, employee-driven teams, and our strong corporate culture, we maximize job satisfaction and deliver meaningful outcomes to the healthcare industry daily. Our unwavering commitment to our vision and values makes HealthStream an exciting, rewarding place to make an impact as HealthStreamers remain committed to 'streaming good' through our work and in the communities where we live.