Data Scientist, Gametime

• The ideal candidate has hands-on experience with SEM and data science models in a marketplace setting, and can thrive in a fast-paced, proactive, and dynamic environment
• SEM Expertise: Strong knowledge and demonstrated experience working with Google Ads and SEM platforms, including campaign structuring, bidding strategies, and auction dynamics in a marketplace setting
• Machine Learning & Data Science: Experience building machine learning models for SEM bidding optimization, including spend and performance forecasting and Target ROAS
• Programming and Tooling: Proficient in Python/R and SQL for data analysis, predictive modeling, and optimization workflows
• Statistical Analysis: Strong foundation in statistics, with experience in A/B testing, performance metrics, and predictive analytics
• Business Intelligence: Experience working with business intelligence data visualization software, such as Tableau or Sigma
• Collaboration: Ability to work cross-functionally with teams in marketing, supply, finance, and fan happiness to achieve business goals
• Communication: Clear and concise communication skills to present technical insights and recommendations to stakeholders, ensuring alignment on SEM strategies
• Critical Thinking: Demonstrates strong critical thinking and decision-making abilities, especially under pressure
• Proactive: Proactive in identifying challenges and implementing solutions and embodies a proactive and “Always be Curious” mindset
• Education: Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, or related field
• Experience: 4+ years of experience in SEM campaign management and optimization, with hands-on experience in a marketplace setting
• Tools: Expertise with Google Ads, experience with machine learning libraries (e.g., Scikit-learn, TensorFlow), and familiarity with data visualization tools (e.g., Tableau, Power BI, Sigma)

Desirable

• We are looking for an experienced Data Scientist to join our team, a cross-functional group supporting all aspects of Gametime
• In this role, you will collaborate closely with the Performance Marketing team to optimize Search Engine Marketing (SEM) campaign performance through predictive modeling and integration of marketplace signals into the Google Ads platform
• This includes driving SEM spend optimization, manual bid adjustments, and Target ROAS settings
• You will play a key role in campaign structuring, modeling, and performance insights, working towards maximizing efficiency in marketing spend and driving profitable growth
• By supporting growth and helping optimize a portfolio of campaigns, you will have a direct impact on the success of the company
• Predictive Modeling and Optimization: Develop and deploy predictive models to optimize SEM bidding strategies, including spend levels, seasonal adjustments, manual bids, and Target ROAS settings
• Campaign Structuring and Automation: Use clustering techniques and performance data to structure campaigns for maximum efficiency and scalability. Support the automation of campaign creation and bid management to streamline SEM processes
• Reporting and Insights: Generate detailed reports on campaign performance, highlighting key metrics and optimization opportunities, and communicate findings to stakeholders across marketing, finance, and data teams
• Financial Modeling: Collaborate with marketing and finance team members to understand channel incrementality through measurement and experimentation and inform financial scenario planning and target setting
• Cross-Functional Collaboration: Partner with the performance marketing, supply, fan happiness, and finance teams to provide data-driven solutions that support SEM and broader marketing goals
• Competitive Advantage: Stay informed on market and industry trends to help maintain data science as a competitive advantage for the company