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Senior Data Scientist (Growth Data Science)
Senior Data Scientist (Growth Data Science)
As a Senior Data Scientist specializing in Growth Data Science at Moloco, you will empower customers to maximize business goals through data products, campaign insights, and optimized campaign performance. You will be instrumental in developing and refining global experiment processes, conducting in-depth data analysis, ensuring data validation, and optimizing campaigns while collaborating with various stakeholders.
About the role
About Moloco
Moloco builds some of the most powerful AI advertising solutions in the world. Our name—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.
The Impact You’ll Be Contributing to Moloco
- Data Science and Analytics (DSA) is a global team of data scientists and analysts. As a Growth Data Scientist, you will provide data products, e.g. raw data, campaign facts, and growth insights to help customers improve campaign performance and maximize their business goals with Moloco.
- Develop, maintain and improve global experiment process to scale standard and bespoke experiments with Moloco customers.
The Opportunity
- Data Analysis: data gathering, analysis, and effective communication of presentations and recommendations to multiple levels of stakeholders. You’ll be responsible for creating custom visual displays of quantitative information through writing queries, and scripts, and developing automated reports and dashboards to provide insights at scale.
- Data validation: verifying the data we obtain from ad exchanges and mobile-app tracking solutions to confirm our campaign models are trained with the most accurate engagement data.
- Campaign optimization: engaging in the life cycle of campaigns, from monitoring daily performance to partnering with sales teams on bespoke analysis for clients.
- Business Collaboration: collaborate with key stakeholders to help Moloco focus on decisions that improve our products and services, with a focus on client growth.
How Do I Know if the Role is Right For Me?
Minimum Requirements:
- Master's degree or equivalent practical experience.
- Proficient in launching, running, optimising, and landing experiments from end to end.
- 5 years and above of experience working with statistical packages (e.g., Python, SQL).
- Fluent in speaking and writing both Chinese-Mandarin and English.
- Statistics: must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analyses such as regression or time-series analysis.
- Programming: experience in Python and SQL is required.
- Comfortable balancing multiple projects simultaneously and effectively prioritizing work based on business needs.
- Excellent verbal and written communication skills, with the ability to present information and analysis results effectively to technical and less technical stakeholders (including Moloco end clients).
- Ability to build positive relationships within the data science & analytics community, as well as with our business stakeholders and clients.
- Work effectively with cross-functional and cross-cultural partners.
- Have an interest in data, metrics, analysis, and trends from the mindset of helping a customer-centric business. Know when to apply statistical measurement vs 80-20 analysis for business growth.
Preferred:
- Ph.D. degree in a quantitative discipline.
- Ability to manage multiple projects at the same time while paying attention to detail.
- Distinctive problem-solving skills, good at articulating product and business questions, pulling data from large datasets, and using statistics to arrive at a recommendation.
- Proven ability to own projects end-to-end, even when you have to get creative: you do more than complete delegated tasks.
- Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.
- Ability to seek out new business questions and effectively scope projects to support client growth, re-engagement, and overall campaign strategy and performance.