Data Scientist (offline)

Requirements

Experience in Python

Английский - Upper Intermediate
Description
Tubular is riding the tsunami of digital video.
Smartphones, social media, and new streaming apps are revolutionizing media and entertainment. Tubular is the worldwide leader in online video intelligence. We are guiding firms through the new digital video landscape. We serve the world’s greatest media companies and brands, including top movie studios & TV networks, leading technology companies, and the creme of digital-first publishers.Tubular analyzes the engagement of the world of digital video viewers and tracks 7+ billion videos and live streams across the major platforms, including YouTube, Facebook, Twitter, Instagram, and Twitch.

Reasons to be a data scientist at Tubular:

Develop and apply skills in challenging data science problems while working with petabyte-scale data sets
Work on cutting edge natural language processing (NLP) models classifying 100M+ videos
Gain experience with cutting-edge machine learning and distributed computing technologies such as Spark, XGBoost, ElasticSearch, and DASK.
Contribute to a highly collaborative team with a culture of openness, ownership, and growth-mindedness.
What you bring to the role:
A desire to learn new technologies and build great software and data models used by key people in the digital video entertainment industry.
Hands-on experience with developing machine learning models and creating software implementing those models
Experience with using Python data science packages such as sci-kit-learn, TensorFlow, and pandas is a plus
An ability to solve problems and communicate your technical insights effectively.
Enthusiasm to be an active and contributing member of a high-performance engineering team.
M.S. or Ph.D. in Computer Science, Math, Data Science, or an equivalent field.

Benefits:
20 paid vacation annually
Paid sick days
Travel to the US office
Access to training and development
The latest equipment (MacBook Pro)
Paid sick days
VIP Health Insurance Package (Providna)
Paid Paternity Bonding Leave (2 weeks)
The company provides stock options

About Alcor

Your own R&D center from scratch fully backed by our back-office services (Real Estate, RPO, Accounting & Legal, etc.).

Company website:
https://alcor-bpo.com/

DOU company page:
https://jobs.dou.ua/companies/alcor/