Senior Data Scientist, Growth Analytics

The Impact You'll Be Contributing to Moloco:

Data Science and Analytics (DSA) is a global team of data scientists. 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.

Here’s what you’ll be working on:

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.

How Will You Know if the Role is Right For You?

Minimum Requirements:

• Bachelor's degree in a quantitative field with 7+ years work experience in data analytics using statistical packages (e.g., R, Python, SAS, Stata, MATLAB, SQL).
• OR a Master’s degree in a quantitative field with 5+ years data analytics work experience using statistical packages.
• OR a PhD in a quantitative field with 3+ data analytics work experience using statistical packages.
• Programming: working knowledge of Python (or R) and SQL is required.
• Statistics: must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis such as regression or time-series analysis.
• 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 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:

• Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences).
• Ability to manage multiple projects at the same time while paying attention to detail.
• Distinctive problem-solving skills, good at articulating product 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 completing 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, reengagement and overall campaign strategy and performance.