What are the responsibilities and job description for the Graduate Data Science Intern position at Perry Ellis International - Internships?
Perry Ellis International is seeking a highly motivated and talented Master's level graduate student to join our Data Science team as an Intern. This is an exciting opportunity to contribute to real-world projects, gain hands-on experience in a dynamic environment, and learn from experienced data scientists. The ideal candidate will possess a strong foundation in statistical modeling, machine learning, and programming, and be passionate about leveraging data to solve complex business problems.
Responsibilities :
- Collaborate with senior data scientists and business stakeholders to understand project requirements and translate them into actionable data science solutions.
- Develop and implement statistical models and machine learning algorithms to address specific business challenges.
- Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis and modeling.
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights within data.
Evaluate model performance using appropriate metrics and techniques, and iterate on models to improve accuracy and efficiency.
Stay up-to-date with the latest advancements in data science and machine learning.
Participate in team meetings and contribute to
a collaborative and supportive work environment.
Qualifications :
Experience with data cleaning, preprocessing, and feature engineering.
Strong analytical and problem-solving skills.
Excellent communication and
presentation skills, with the
ability to explain complex technical concepts to both technical and non-technical audiences.
Ability to work independently and as part of a
team.
Benefits :
Working at Perry!
We, at Perry always strive to instill and maintain these core values, by being
Accountable - Responsibility and behavior lead the way
Passion - Love what you do
Individuality - Showcase your authenticity in the work you do
Resourcefulness - Foster growth & development through continuous learning
Creativity - Innovate into the future by thinking outside the box
Acceptance - Embrace an inclusive workspace
Integrity - Be ethical and strive for excellence
Adaptability - Embrace change
