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Karkidi

Senior/ Data Scientist II, Growth Analytics

Karkidi, Redwood City, California, United States, 94061


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 to how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging will allow us the greatest opportunity to carry out our mission -- to empower businesses of all sizes to grow through operational machine learning.Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!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.The Opportunity:

Moloco Growth Data Scientist contributes in the following areas, all while working cross-functionally to help meet our client’s needs and advance our machine learning models.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.Minimum Requirements:

Master's degree or equivalent practical experience.4-7 years 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.Equal Opportunity:

Moloco is an equal opportunity employer. As we highly value diversity in our current and future employees, we 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 gender identity, sexual orientation, marital status, ancestry, physical or mental disability, military and veteran status, or any other characteristic protected by law.

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