Data Scientist Video Amp - California, United States - STARTUPDOPE MEDIA

Description

VideoAmp is looking for a Data Scientist with experience working whith large datasets who is eager to tackle new problems in the programmatic media-buying space.

Responsibilities for this role include:
Working with Pb-scale data sets representing the total US video audience.
Building new, and scaling out existing models in support of audience segmenting.
Working with the data-engineering team to productionize ML pipelines
Coordinating data models with other engineering teams

Qualifications:
PhD in Data Science IS REQUIRED
Experience building data models, and managing ML pipelines with tools such as R, Python, and Tensor Flow
SQL fluency and an understanding of relational data models.
Comfortable in the Linux environment.
A master of all trades mentality and an ability to embrace new challenges regularly.
Eager and energized to work with some of the latest open source technologies.
Authorized to work in the US
Able to work on-site in Santa Monica
Small, friendly, and highly collaborative team, with no brilliant jerks – but lots of highly intelligent and motivated coworkers
Unlimited PTO
Unlimited use of personal trainer and weekly in-office yoga
Catered meals and fully stocked kitchen (premium + cold brew coffee, fresh produce, hot breakfast, variety of beverage options)
Corporate support for hackathons, lunch and learns, and attending conferences
In office gym
Optional company outings, i.e. Bubble Soccer, White Water Rafting, Star Wars movie viewings, Blizzcon trip, Camping, Beach Volleyball, etc.
VideoAmp is a rapidly growing start-up in the video & TV advertising space. We are the marketplace that enables advertisers and content owners to transact on the new cross screen currency.

Our vision is to build the most comprehensive video and advanced TV advertising platform available and we're quickly on our way to achieving that.

The ideal candidate's best qualities are attention to detail and accountability. They need little coaching and excel in self motivated environments. Their previous role was in marketing or product, preferably for a tech or start-up company. They're outgoing, with a zest for technology and culture.

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