Data Scientist - US at MOLOCO
Organization Name: MOLOCO
Organization Location: Redwood City, CA
Organization Website: https://www.molocoads.com/en/
Job Title: Data Scientist
About MOLOCO: MOLOCO is a machine learning company that empowers mobile businesses to unleash the power of their data for fast, sustainable growth through the programmatic advertising ecosystem.
About the Data Team: Data scientists at MOLOCO are generally in charge of finding gems from the deluge of our advertising data. You will be earning the privilege of dealing with petabytes of big data on a daily basis. Mining and analyzing those data plays a crucial role in developing our ever-evolving advertising products. Data scientists are indispensable to MOLOCO business since the application of derived knowledge to the ads campaign optimization drives our growth.
What You’ll Do:
Working cross-functionally to support campaign management and communication.
Data analysis: analyzing and visualizing data from lots of mobile apps to provide insights to existing and future campaigns using standard tools including SQL and charting libraries.
Data validation: verifying the first-party data we obtain from ad exchange and the third party mobile app tracking solutions so that our campaign models get trained with accurate data.
Campaign optimization: engaging in the lifecycle of campaigns from building the initial lookalike model, monitoring daily performance, and advancing machine learning models.
What You’ll Need To Succeed:
Master’s degree in the data-related field required.
Experience in Python or R required, SQL knowledge is a bonus.
Ability to multi-task and manage multiple projects at a time while paying attention to detail.
Ability and desire to hit the ground running and to optimize results in order to leave things better than when you got them.
Outstanding time management, organizational, and communication skills (both written and verbal).
Proactive team player with the ability to adapt to a fast-growing tech company
Excellence in logical thinking, problem-solving, and proven familiarity with big data
Familiar with statistics fundamentals such as linear/logistic regression, hypothesis testing, and binomial probabilities
Job Type: Full-time
Remote Work Available?: Remote WFH until June of 2021. Hybrid model once it is safe
Salary Range: Negotiable
Desired Start Date: Feb 2021
