Data Scientist II - Product Analytics at Moloco

Redwood City, California, United States

Moloco Logo
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

Key technologies and capabilities for this role

Machine LearningProduct AnalyticsData SciencePerformance MarketingCloud Computing

Questions & Answers

Common questions about this position

What is the location or work arrangement for this role?

This information is not specified in the job description.

What is the salary or compensation for this Data Scientist II position?

This information is not specified in the job description.

What skills are required for the Data Scientist II - Product Analytics role?

The role requires skills in conducting deep-dive analysis on large datasets using queries and scripts, extracting signals from noise, producing actionable insights, and deep understanding of the ads ecosystem including supply, demand, bidding, and ML.

What is the company culture like at Moloco?

Moloco fosters a culture of inclusion, authenticity, and belonging, with diversity of talent and thought as a critical component. They emphasize creating a diverse workforce as core to their existence and recognize it as their superpower.

What makes a strong candidate for this Data Scientist position?

A strong candidate will have experience driving performance improvements through deep understanding of the ads ecosystem (supply, demand, bidding, ML) and customer needs, providing data-driven insights and scientific solutions while working closely with the R&D team.

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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