Data Science Intern at Moloco

Redwood City, California, United States

Moloco Logo
Not SpecifiedCompensation
InternshipExperience Level
InternshipJob Type
UnknownVisa
Advertising Technology, Machine LearningIndustries

Requirements

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

Responsibilities

  • 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
  • Validate and quantify the efficiency and performance gain from hypotheses through rigorous simulation and modeling
  • Develop a robust experiment design and metric framework, and provide 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

Skills

Machine Learning

Moloco

Machine learning for user acquisition and monetization

About Moloco

Moloco helps businesses in the digital advertising industry acquire and re-engage high-value users by using machine learning and first-party data. Their services optimize advertising efforts based on real-time data, allowing clients to achieve their unique business goals regardless of budget or location. Unlike competitors, Moloco focuses on maximizing the value of every user and delivering outcomes that align with advertisers' objectives. The company's goal is to expand clients' user bases and increase revenue through effective performance advertising.

Redwood City, CaliforniaHeadquarters
2013Year Founded
$186.4MTotal Funding
SERIES_CCompany Stage
Fintech, AI & Machine LearningIndustries
501-1,000Employees

Benefits

Comprehensive health and wellness: Competitive health, dental, vision and life insurance (covered at 100% for you) and your family.
Professional development: Teach yourself something new and get reimbursed each year for your professional development.
Food and snacks: Enjoy lunch on us. We bring lunch in for employees everyday, In addition, our micro-kitchens are filled with healthy snacks and beverages for you to enjoy
Paid parental leave: Our maternity/paternity leave plan also has you covered when you welcome a new child into your family.
Unlimited vacation: We encourage team members to take time off to relax and recharge with our flexible paid time off policy.
Financial benefits: We provide stock options and generous 401k/pension with an employer match that helps you prepare for your future.

Risks

Increased competition from AI-driven platforms like The Trade Desk may erode market share.
Rapid expansion in India may face regulatory and cultural challenges.
Dependence on large partnerships poses risks if these are disrupted or terminated.

Differentiation

Moloco leverages first-party data for precise user targeting and engagement.
The company uses machine learning to optimize advertising campaigns for unique business goals.
Moloco's partnerships with major brands enhance its credibility and market reach.

Upsides

Expansion into India aligns with growing digital ad spend in emerging markets.
Partnerships in streaming services tap into the rising connected TV ad opportunities.
Investment in Topsort positions Moloco in the growing retail media network sector.

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