Data Science Intern

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

About Moloco

Moloco builds some of the most powerful AI advertising solutions in the world. Our name’s short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube’s monetization engine and key search advertising technologies, we’re transforming how businesses grow and compete in the digital economy. Built with AI from day one, Moloco’s planet’scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI‐powered platform that delivers real business outcomes for mobile app marketers through performance‐based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue‑generating ad businesses that balance user experience and advertiser performance. Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Bangalore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.

The Impact You’ll Be Contributing to Moloco

Data Science and Analytics (DSA) is the global team of Data Scientists and Analysts. As a Data Science Intern in DSA, you will drive performance improvement and cost efficiency in our product through a deep understanding of the ML and infra system, and provide a data‐driven insight and scientific solution.

Some examples of past intern projects are:

• Work on and improve various components of our ad-tech stack including ranking, retrieval, auction/bidding and budget pacing.
• Conduct deep-dive analysis to influence R&D decisions and strategies: analyze a large dataset with queries and scripts, extract valuable signals out of noise, and produce actionable insights into how we could optimize Moloco’s complex bidding system.
• Design and deploy advanced optimization approaches to improve our ad-delivery: identifying the best ranking, retrieval and bidding strategies that strike the right balance between ROI and revenue trade-offs.
• Validating and quantifying the efficiency and performance gain from hypotheses through rigorous simulation and modeling.
• Developing a robust experiment design and metric framework, and providing reliable and unbiased insights for product and business decision making.
• Stay up-to-date with the latest researches and developments in experimentation and causal inference, and identify opportunities of applying these techniques to business challenges.

Minimum Qualifications

• Able and willing to work from our Menlo Park, CA. office or Seattle, WA office.
• Must be able to work full-time (40-hours per week) for 12-weeks during the summer of 2026 (May‐September).
• Actively enrolled in a Bachelor's, Master’s or PhD program in a technical or quantitative discipline during the internship.
• Candidates pursuing a Bachelor's or Master’s degree must be graduating and obtaining the degree by June of 2027.

Preferred Qualifications

• Ability to manage multiple projects at the same time while paying attention to detail and translate analysis results into business recommendations.
• Ability to work independently, owning projects end-to-end, solving problems without much guidance.

Our Compensation and Benefits (for United States Residents Only)

In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package.

Base Pay Range: $8,600 — $10,400 USD

Moloco Thrive: Benefits and Well-Being

We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.

Equal Opportunity

Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.

Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.