As a Data Science Intern at PrizePicks, your main responsibilities include working closely with the data science team on complex sports modeling problems and contributing to model development and iteration. You will also be involved in data collection and the research of innovative initiatives to tackle unique challenges in the fantasy sports sector.

To qualify for the Data Science Internship at PrizePicks, candidates should have a strong technical background in computer science, statistics, or a related field, demonstrating proficiency in Python and SQL. Additionally, a passion for sports and experience in machine learning or data competitions can significantly strengthen your application.

Applicants can stand out for the Data Science Internship at PrizePicks by showcasing a background in lower-level programming languages like Rust, Java, or C++. Previous experience building machine learning algorithms from scratch, engaging in data science competitions like Kaggle, or contributing to open-source projects will further enhance your application.

During your Data Science Internship at PrizePicks, you will work on projects related to sports modeling, exploring data analytics methods, and researching new approaches to optimize fantasy sports challenges. You’ll collaborate with experienced professionals and gain hands-on experience with real-world data.

The Data Science Internship at PrizePicks offers a great compensation package along with additional benefits for full-time employees, such as company-subsidized health plans, flexible PTO, workplace flexibility, and opportunities for career growth and development through annual performance reviews.

When answering this question, provide specific examples of projects where you've utilized Python and SQL. Discuss how you've applied these skills in analyzing datasets, building models, or any relevant experiences you may have had in your coursework or personal projects.

Explain your process for building a machine learning model, highlighting key steps such as understanding the problem, preprocessing data, selecting the appropriate algorithms, training the model, and validating its performance. Make sure to include any relevant experiences or projects you’ve completed.

Discuss the tools and methods you’ve used for data analysis, such as statistical techniques or specific software. Mention how you interpret data trends relevant to sports, and any sports-specific problems you've aimed to solve with your analysis.

Emphasize the importance of collaboration in data science, especially in projects like those at PrizePicks. Share examples where you successfully collaborated with others, highlighting any methods used to communicate complex findings effectively.

Share the resources you rely on to stay informed about data science, such as academic journals, online courses, or data science communities. Mention any specific topics or tools you’ve recently learned that could be relevant to the internship.

Prepare to discuss a specific challenge in detail, including the steps you took to resolve it, the analytical methods employed, and the outcome. Show how your skills and creativity helped in overcoming this obstacle.

Explain your passion for both data science and sports, detailing how the combination fuels your interest in analyzing information that can impact game strategies and outcomes. Share any specific sports analytics projects that have inspired you.

Describe your approach to managing and analyzing large datasets, including any tools or techniques you've used such as data cleaning, data visualization, or utilizing cloud-based solutions. Concrete examples can help illustrate your efficiency in this area.

Discuss key takeaways from any data science competitions you’ve participated in, such as the skills gained, lessons learned about teamwork, and the importance of creativity in problem-solving. Examples from competitions like Kaggle can be particularly valuable here.

Tailor your response to showcase your alignment with PrizePicks’ mission, values, and the exciting projects you'll be involved in. Illustrate your enthusiasm for working on innovative solutions in the fantasy sports space and how you hope to contribute to the team's success.