Moloco is looking to empower businesses of all sizes to grow through operational machine learning by providing data products and insights to help customers improve campaign performance and maximize their business goals.
Requirements
- 6+ years of experience working with statistical packages (e.g., R, Python, SAS, Stata, MATLAB, SQL)
- Strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis such as regression or time-series analysis
- Experience in Python (or R) and SQL is required
- Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences) (preferred)
- Demonstrated leadership and self-direction
- Willingness to both teach others and learn new techniques (preferred)
- Ability to seek out new business questions and effectively scope projects to support client growth, reengagement and overall campaign strategy and performance (preferred)
Responsibilities
- Create custom visual displays of quantitative information through writing queries, scripts, and developing automated reports and dashboards to provide insights at scale
- Verify the data obtained from ad exchanges and mobile-app tracking solutions to confirm campaign models are trained with the most accurate engagement data
- Engage in the life cycle of campaigns, from monitoring daily performance to partnering with sales teams on bespoke analysis for clients
- Collaborate with key stakeholders to help Moloco focus on decisions that improve products and services, with a focus on client growth
- Develop and maintain data products, e.g. raw data, campaign facts, growth insights to help customers improve campaign performance and maximize their business goals with Moloco
- Work effectively with cross-functional partners (Engineering, Data Science, Sales, GTM)
- Exercise sound judgment in selecting appropriate statistical methods and levels of analytical rigor, balancing complexity with clarity to effectively inform business strategy and product decisions
Other
- Bachelor's degree or equivalent practical experience
- Excellent verbal and written communication skills, with ability to present information and analysis results effectively to technical and business stakeholders
- Ability to build positive relationships within data science & analytics community, as well as with our business stakeholders and clients
- Proven track record in data, metrics, analysis, and trends from the mindset of helping a customer-centric business
- 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
