Summer Intern, Data Science — LA Kings

As a Summer Intern in Data Science at LA Kings, your responsibilities will include creating predictive data models to enhance strategic sports decisions, analyzing core business datasets like ticketing purchases and fan demographics, mining data for actionable insights, and collaborating with various teams to optimize existing models. You'll also assist in managing and organizing data, utilizing web scraping techniques, and connecting to APIs. This role is designed to give you practical experience in data science within the sports and entertainment industry.

To be eligible for the Summer Data Science Internship at LA Kings, candidates must be current students pursuing a Master's degree in fields like Statistics, Data Science, or Machine Learning. Solid organizational and interpersonal skills are essential, along with a passion for sports and technology. Practical experience with statistical analysis in Python or R, advanced SQL skills, and knowledge of data visualization tools like PowerBI or Tableau are also highly beneficial.

A Summer Intern in Data Science at LA Kings will work on a variety of challenging projects that influence real-world sports strategies. You will analyze business data to identify trends, create models for revenue forecasting, and assist with the optimization of marketing initiatives. Collaborating closely with experienced professionals will provide insights into high-impact business questions while also allowing you to build your own impactful final project.

The internship at LA Kings not only provides hands-on experience with real-world data science projects but also emphasizes professional development through mentorship, networking opportunities, and guidance from industry experts. Interns are encouraged to attend meetings, events, and industry-related activities, which are invaluable for building a future career in sports and data analytics.

The AEG Internship Program for the Summer Data Science internship at LA Kings requires a minimum commitment of 24 hours per week. Flexibility in scheduling is encouraged, as you will collaborate closely with your team while gaining immersive experience in a dynamic work environment.

In response to this question, highlight your understanding of various data science techniques like statistical analysis, machine learning, and data mining, emphasizing how you would apply those methods to solve specific problems within the sports industry, particularly for LA Kings.

Share a specific example from your past experience where you leveraged data to provide insights or recommendations. Focus on the process you used, the tools involved, and the outcomes achieved, ensuring to relate it back to how it might benefit the LA Kings' operations.

Explain your approach to task management, such as using project management tools or prioritizing based on deadlines and project importance. Honesty about your process and mentioning any experience in high-pressure environments like sports will be advantageous.

Discuss your proficiency with programming languages relevant to data science, such as Python or R. Provide examples of how you've used them in academic or professional projects to analyze data, create models, or visualize results.

Identify key metrics such as ticket sales, social media interactions, and digital marketing performance. Explain how you would use these metrics to derive insights for enhancing fan experience and driving marketing strategies at LA Kings.

Discuss the importance of data cleaning and validation. Provide examples of methods you've used to ensure the integrity of data, such as using statistical techniques or cross-referencing datasets to minimize errors in your analysis.

Express your passion for sports and how data science can play a crucial role in enhancing team performance, fan engagement, and overall strategies. Connect your personal interests and experiences to the mission and values of LA Kings.

Provide a specific scenario where teamwork was essential in achieving a project outcome. Highlight your roles and contributions while emphasizing the collaborative approach and what you learned from the experience.

Acknowledge potential challenges, such as dealing with large datasets or balancing multiple projects. Discuss strategies for overcoming these challenges, like continuous learning, seeking feedback, and leveraging mentor guidance.

Talk about your experience with data visualization tools like Tableau or PowerBI. Provide examples of how you've leveraged these platforms to present data insights in an engaging and understandable way, which would benefit LA Kings in conveying results to stakeholders.