Data Science Intern - ML for Ad Tech Optimization

SupportFinity™; Menlo Park (CA); On-site; USD 95,976 - 116,064; Full time

Benefits offered by this job

Competitive benefits package

Opportunities for career development

Job summary

SupportFinity™ seeks a Data Science Intern to enhance product performance and efficiency based in Menlo Park, California. Interns will engage in projects that include analyzing ad-tech stack components and deploying optimization strategies to improve ad delivery.

Candidates must be enrolled in a relevant technical or quantitative degree program and able to work full-time for 12 weeks during the summer of 2026. The compensation ranges from $8,600 to $10,400.

Qualifications

• Must be able to work full-time (40-hours per week) for 12 weeks during summer 2026.
• Candidates pursuing a Bachelor's or Master’s degree must be graduating by June 2027.

Responsibilities

• Drive performance improvement and cost efficiency in our product.
• Conduct deep-dive analysis to influence R&D decisions and strategies.
• Design and deploy advanced optimization approaches for ad-delivery.

Skills

Ability to manage multiple projects

Ability to work independently

Education

Currently enrolled in a Bachelor's, Master’s or PhD program

Job description

SupportFinity™ seeks a Data Science Intern to enhance product performance and efficiency based in Menlo Park, California. Interns will engage in projects that include analyzing ad-tech stack components and deploying optimization strategies to improve ad delivery.

Candidates must be enrolled in a relevant technical or quantitative degree program and able to work full-time for 12 weeks during the summer of 2026. The compensation ranges from $8,600 to $10,400.