Data Science Intern Pricing Analytics
Role Overview
This is a Data Science Intern role focused on pricing analytics, where you'll work in a cross-functional team to support pricing strategy through exploratory analysis, hypothesis development, and statistical modeling. Day-to-day tasks include building dashboards, managing data integrity, and attending virtual workshops, with the impact of informing critical business decisions like price elasticity and demand forecasting.
Perks & Benefits
The role is remote, likely with flexible hours, and offers opportunities for career growth through hands-on experience in a fast-paced tech environment. You'll be part of a collaborative team that values curiosity and problem-solving, with access to virtual project walkthroughs and workshops to enhance learning and development.
Full Job Description
About Us: Live experiences help people cross today's digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.
With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.Job Summary: We are looking for an organized, data-driven, and curious team player to join our cross-functional team focused on pricing. As a Data Scientist Intern, you will support and inform pricing strategy to provide insights to inform critical business decisions. The ideal candidate will be able to thrive in a fast-paced environment and will be able to adapt to changes within the business and the industry. Key Responsibilities:
Exploratory analysis to vet pricing test ideas and concepts Understand, propose, and develop new hypotheses within Gametime's pricing infrastructure Building dashboarding/reporting relating to pricing initiatives Developing novel statistical models to assist in exercises, such as price elasticity and demand forecasting Managing data integrity of internal and external data processes Attending virtual project walkthroughs and workshops
Key Competencies:
Proficient in SQL Some experience with Python or R Basic knowledge of Economic principles Proactive and "Always be Curious" mindset Strong problem-solving skills Strong collaboration and communication skills
Minimum Qualifications:
Education: Pursuing aPlease mention the word **AMUSINGLY** and tag RODguMTk4Ljk5LjE0Mw== when applying to show you read the job post completely (#RODguMTk4Ljk5LjE0Mw==). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
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