Data Scientist, Marketing Intern

Key Skills

A/B Testing, Analytical and Problem solving, Data Analytics, Data Visualization, Effective communication skills, Python Programming, R Programming, SQL

Job Description

We are looking for an organized, data-driven, and curious team player to work cross-functionally across the data and marketing teams. As a Data Scientist Intern, you will support and inform various functions to solve business-critical issues, specifically related to our Marketing and Growth efforts. 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.

What you'll dod / own:

• Identify marketing analytical needs, build/execute analytics, and report findings to functional partners across marketing (PR, CRM, Product Marketing, Performance/Acquisition, etc.)
• Provide insight into critical business decisions, working closely with the marketing team to answer pressing issuesLeverage analytics and quantitative methods to inform and influence decision-making
• Influence and build relationships with people across all levels of the organization, internally and externally

A little more about you:

• Entering your junior year of undergraduate studies or in a masters or PHD program
• Proficient in SQLExperience with A/B testing a plus
• Basic knowledge of the types of marketing campaigns and channels
• Ability to identify, analyze, and provide recommendations to complex business decisions
• Solid understanding of statistical analysis and experimentation, and capacity to drive conclusions from the analysis
• Ability to work across disparate data sources to obtain sensible results
• Strong collaboration and communication skills
• Strong problem-solving skills
• Some experience with Python or R
• Experience with a data visualization software

$25 - $35 an hour

At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget.