Data Scientist (Machine Learning)
Summary
Build ML models to personalize content and detect inappropriate media for a fast-growing social video app with 150M+ downloads.
Lomotif is a social video app for anyone with an original voice to express freely. Since our launch in June 2014, we have seen tremendous growth among Gen Z teens in Brazil, the United States, and Russia with $0 spent on marketing even until today. We now have over 150 million downloads and users creating and sharing more than 1 billion clips every month: selfie music videos, moments with family and friends, urban fashion trends, lifestyle content, and more.
Our team is expanding quickly to meet the demands of our accelerating growth and is seeking self‑motivated individuals to deliver this extraordinary app to the Brazil market. To be successful in this position, you must thrive in a fast‑paced environment and desire to understand user behavior and to constantly improve the user experience of our app.
Job Description
To be a successful Data Scientist, these are some of the critical criteria we are looking for
3-5 years of experience manipulating data sets and building statistical models, well‑versed in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
Experience handling B2C data i.e. Demonstrated experience in applying data science methods to produce personalised content for users.
Experience with distributed data/computing tools: Map/Reduce, Hadoop, Spark etc.
Experiencing working on porn detection (Bonus).
Additional Information
Other Criteria
- Enjoy the hustle.
- Are willing to get scrappy.
- Have a "get shit done" mentality.
- Welcome robust debate.
- Can "take it, and fly with it" - don't require any sort of hand-holding to perform exceptionally.
- Love to live at the intersection between art & technology