Data Scientist II - Product Analytics at Moloco

Redwood City, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Advertising Technology, Machine LearningIndustries

Requirements

Distinctive problem-solving skills, ability to articulate product questions, pulling data from large datasets and using statistics to arrive at a recommendation; ability to manage multiple projects at the same time
Proven ability to own projects end-to-end, even when you have to get creative: you do more than completing delegated tasks and always pay attention to detail to translate analysis results into business recommendations
Excellent verbal and written communication skills, with ability to present information and analysis results effectively
Statistics: strong knowledge and experience in experimental design, hypothesis testing, and various statistical methods

Responsibilities

Conducting deep-dive analysis to influence R&D decisions and strategies: analyzing large datasets with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could improve Moloco’s complex ML and bidding system to drive outcomes for customers
Building the right metrics to measure campaign health: improving campaign performance monitoring by establishing the right metric framework, and understanding cause-and-effect relationships across drivers
Evaluating ads system health: understanding changes and drivers of our complex systems, and diagnosing issues through a set of input/output metrics of each component

Skills

Machine Learning

Product Analytics

Data Science

Performance Marketing

Cloud Computing

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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