Data Science Intern - Pricing Analytics (Remote)
About the Role
We are excited to announce an opportunity for a Data Science Intern - Pricing Analytics (Remote) at Gametime United. As a part of our mission to unite the world through shared experiences, you will play a crucial role in supporting our pricing strategy and providing insights that will inform critical business decisions. This position is perfect for someone who is organized, data-driven, and curious, ready to thrive in a fast-paced environment.
What You'll Do
- Conduct exploratory analysis to vet pricing test ideas and concepts.
- Understand, propose, and develop new hypotheses within Gametime's pricing infrastructure.
- Build dashboards and reports related to pricing initiatives.
- Develop novel statistical models to assist in exercises such as price elasticity and demand forecasting.
- Manage data integrity of internal and external data processes.
- Attend virtual project walkthroughs and workshops.
Requirements
- Pursuing a degree in a relevant field (e.g., Data Science, Economics, Statistics).
- Proficient in SQL.
- Some experience with Python or R.
- Basic knowledge of economic principles.
- Proactive and possess an "Always be Curious" mindset.
- Strong problem-solving skills.
- Excellent collaboration and communication skills.
Nice to Have
- Experience with data visualization tools.
- Familiarity with machine learning concepts.
- Previous internship experience in data analytics.
What We Offer
- Competitive internship salary.
- Remote work flexibility.
- Opportunity to work with a dynamic and innovative team.
- Hands-on experience in pricing analytics.
- Access to professional development resources.
This internship offers a unique opportunity to gain hands-on experience in pricing analytics while working remotely. Join a dynamic team at Gametime United!
Who Will Succeed Here
Proficient in SQL for data extraction and manipulation, with a strong understanding of database management systems like PostgreSQL or MySQL, enabling effective data-driven decision-making.
Demonstrates a strong analytical mindset and curiosity, capable of utilizing Python and R for statistical modeling and data analysis, ensuring accurate insights for pricing strategies.
Adaptable and self-motivated, thriving in a remote work environment by effectively managing time and prioritizing tasks, while being proactive in seeking feedback and guidance.
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