Senior Data Scientist - Growth Analytics

About Moloco: 

Moloco is a machine learning company empowering organizations of all sizes to grow and unlock the full value of their unique first-party data, elevating the traditional path to performance advertising. While the largest technology companies have proven the speed and scale of ad-targeting utilizing data— the same robust performance powered by machine learning has previously been unavailable beyond their platforms. 

That's where Moloco steps in. With Moloco's powerful combination of cutting-edge machine learning technologies, we play a unique and visible role in shaping the digital economy, all while allowing companies to stay independent and scale.

An industry leader at the nexus of machine learning, performance marketing, and visionary product infrastructure, Moloco is advancing the advertising technology industry. We ranked #95 in the Inc. 5000 fastest-growing private companies for 2022. We ranked #91 among Deloitte’s 2021 Fast 500 and have been certified by 91% of the company via Great Places to Work. Check us out on Glassdoor and be sure to get an inside look at working at Moloco on Instagram, Twitter, and Youtube. 

Moloco is headquartered in Silicon Valley, with offices in San Francisco, New York, Los Angeles, Seattle, London, Berlin, Seoul, Singapore, Beijing, Gurgaon, and Tokyo. 

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 Senior Data Scientist, Growth Analytics, you will provide data products, e.g. raw data, campaign facts, growth insights to help customers improve campaign performance and maximize their business goals with Moloco.

Moloco data scientists contribute 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, 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.     

QUALIFICATIONS

Minimum Requirements:

• Bachelor's degree or equivalent practical experience
• 6+ years of experience working with statistical packages (e.g., R, Python, SAS, Stata, MATLAB, SQL)
• Statistics: must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis such as regression or time-series analysis
• Programming: experience in Python (or R) and SQL is required
• Comfortable balancing multiple projects simultaneously and effectively prioritizing work based on business needs
• Excellent verbal and written communication skills, with ability to present information and analysis results effectively to technical and less technical stakeholders
• Ability to build positive relationships within data science & analytics comm