Data Science Intern Pricing Analytics
Data & Analytics
WFA Digital Insight
In today's data-driven market, companies like Gametime United are seeking skilled professionals to inform critical business decisions. With demand for data scientists growing rapidly, this role stands out for its focus on pricing analytics, a high-stakes area where skills in SQL, Python, and R are particularly valuable. AMUSINGLY, as the job market evolves, candidates who can thrive in fast-paced environments and adapt to changes will be highly sought after.
Job Description
About the Role
We are seeking a highly organized, data-driven, and curious team player to join our cross-functional team focused on pricing analytics.Responsibilities
- 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 relating 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
- Proficient in SQL
- Some experience with Python or R
- Basic knowledge of Economic principles
- Proactive and curious mindset
- Strong problem-solving skills
- Strong collaboration and communication skills
How to Stand Out
- Be prepared to showcase your proficiency in SQL, Python, or R with examples of projects or assignments where you applied these skills.
- Highlight any experience you have with data analysis, statistical modeling, or data visualization tools.
- Show your ability to work in a fast-paced environment by giving examples of times when you had to adapt to changes or priorities.
- Emphasize your strong problem-solving skills by walking the interviewer through your thought process on a complex problem you've solved.
- Make sure your resume and any portfolio samples are tailored to highlight your data science skills and experience.
- When discussing salary, be prepared to talk about your expectations based on industry standards and your research on the company's compensation packages.
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