Data Scientist (Machine Learning)
Lomotif · Singapore, sg ·
- Category
- Data science
- Experience
- 3+ years
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)
Other Criteria
You'll fit into Lomotif culture if you…
- 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
About our CEO:
As the head of product and named inventor of our pending patents, he designed and built Lomotif from scratch with our founding engineer (Casey Law), who he met at MIT. He has proven his product intuition as GenZs have fallen in love with the product and are telling their friends about it. Lomotif has grown to over 20M users with $0 marketing spend and this exponential growth continues.
He also wears other hats, such as fundraising and music partnerships. He negotiates deals with all major music labels such as Sony, Universal and Warner, while constantly expanding Lomotif’s network in the west coast, meeting regularly with mentors/advisors ranging from Snapchat’s board of directors to successful founders.
Additional trivia: Previously he was a commercial cinematographer and recreationally he is both a pilot and musician.