Data Scientist - SEM Bidding

$180,000 - $180,000/Yr

Gametime United - New York, NY

Full-time - Mid Level

New York, NY

Wholesale Trade Agents and Brokers

About the position

The Data Scientist - SEM Bidding role at Gametime involves optimizing Search Engine Marketing (SEM) campaign performance through predictive modeling and integration of marketplace signals into the Google Ads platform. The position requires collaboration with various teams to drive SEM spend optimization, manual bid adjustments, and Target ROAS settings, ultimately impacting the company's growth and marketing efficiency.

Responsibilities

• Develop and deploy predictive models to optimize SEM bidding strategies, including spend levels, seasonal adjustments, manual bids, and Target ROAS settings.
• Use clustering techniques and performance data to structure campaigns for maximum efficiency and scalability.
• Generate detailed reports on campaign performance, highlighting key metrics and optimization opportunities, and communicate findings to stakeholders across marketing, finance, and data teams.
• Collaborate with marketing and finance team members to understand channel incrementality through measurement and experimentation and inform financial scenario planning and target setting.
• Partner with the performance marketing, supply, fan happiness, and finance teams to provide data-driven solutions that support SEM and broader marketing goals.
• Stay informed on market and industry trends to help maintain data science as a competitive advantage for the company.

Requirements

• Bachelor's degree in Data Science, Mathematics, Statistics, Computer Science, or related field.
• 4+ years of experience in SEM campaign management and optimization, with hands-on experience in a marketplace setting.
• Strong knowledge and demonstrated experience working with Google Ads and SEM platforms, including campaign structuring, bidding strategies, and auction dynamics in a marketplace setting.
• Experience building machine learning models for SEM bidding optimization, including spend and performance forecasting and Target ROAS.
• Proficient in Python/R and SQL for data analysis, predictive modeling, and optimization workflows.
• Strong foundation in statistics, with experience in A/B testing, performance metrics, and predictive analytics.
• Experience working with business intelligence data visualization software, such as Tableau or Sigma.

Nice-to-haves

• Experience with SEM in a dynamic, high-growth marketplace environment.
• Advanced degree in Data Science or related fields.
• Prior experience with automated bidding systems and Target ROAS optimization.
• Experience in ticketing is a strong plus.

Benefits

• Flexible PTO
• Competitive salary & equity package
• Monthly Gametime credits for any event ($1,200/yr)
• Medical, dental, & vision insurance
• Family forming benefits through Carrot Fertility
• Life insurance and disability benefits
• 401k, HSA, pre-tax savings programs
• Company happy-hours, events and outings
• Wellness programs
• Tenure recognition