Senior Data Scientist, Roku

Advertising

Salary not provided
SQL
Python
Tableau
Looker
R
Mid and Senior level
New York
Roku

Convenient and affordable TV streaming players

Open for applications

Roku

Convenient and affordable TV streaming players

1001+ employees

B2CEntertainmentVideoMedia

Open for applications

Salary not provided
SQL
Python
Tableau
Looker
R
Mid and Senior level
New York

1001+ employees

B2CEntertainmentVideoMedia

Company mission

To provide its users with a more convenient and cost effective way of watching the programs they love.

Role

Who you are

  • 4+ years of relevant experience as a data analyst or data scientist in technology, e-commerce, finance, or ad-tech
  • Excellent command of SQL and experience working with Big Data
  • Experience coding in R or Python
  • Experience with data visualization platform like Tableau, Looker, etc
  • Statistics knowledge: A/B testing, statistical inference, interpretation of data, etc
  • Familiarity with the ad tech terminology and landscape, including prior experience working with DSP, SSP, ad server, and/or DMP data
  • Strong written and verbal communication skills
  • Ownership mindset, you own end to end lifecycle of a product starting from ideation, rollout to post-launch performance tracking
  • Academic background in math, physics, computer science, economics

What the job involves

  • At Roku, as a Senior Data Scientists you will leverage Big Data to generate insights that fuel Roku’s most significant business decisions
  • As a Senior Data Scientist you will also use a combination of technical skills, business intuition, and analytical thinking to partner with business leaders and provide actionable recommendations
  • Senior Data Scientists at Roku are thought partners to executive business leaders, so communication and presentation are enormously important
  • Senior Data Scientists do not take direction from business owners and execute on ad-hoc questions. You will proactively identify the areas of the data and business that require attention and formulate analyses, insights, and recommendations based on an excellent command of the needs
  • A perfect fit for anyone who wants to continue to evolve business domain expertise alongside technical and analytical development
  • Use Roku’s Big Data to perform a thorough analysis
  • Design and evaluate A/B experiments
  • Develop data visualizations that illustrate complex platform phenomena using Tableau, looker, etc
  • Partner with leadership, engineers, product managers and data engineers to understand data needs
  • Use creativity to find proxies where verbatim data or measurement is unavailable
  • Identify new applications for the myriad logged events in Roku’s immense data catalog

Our take

According to Nielsen data, the average streamer spends over seven minutes searching for something to watch. Streaming services use customers' viewing history to make suggestions, but these are limited to programs licensed for that particular service.

Roku provides an integrated streaming service that offers TV channels, movies and third-party streaming services, resulting in an all-in-one streaming platform. The service can be accessed through a variety of customized subscription packages and fees.

Roku stands out in the streaming industry by bringing many competitors together in one package. The startup provides further innovative services such as a weekly TV series named 'Roku Recommends' which uses first-party data to recommend essential viewing to users. Alongside funding filmmakers through its "Change Makers Program", Roku also acquired its own original library of shows through its acquisition of now-defunct Quibi's library in 2021. After successful collaborations with TCL and Hisense, the first in-house "Roku Television" was released in 2023, further exemplifying the streaming company's wider ambitions in the media sector.

Kirsty headshot

Kirsty

Company Specialist

Insights

Top investors

Few candidates hear
back within 2 weeks

-6% employee growth in 12 months

Company

Funding (last 2 of 9 rounds)

Jan 2016

$45.5m

LATE VC

Nov 2015

$45.5m

SERIES H

Total funding: $247.8m

Company benefits

  • Medical, wellness and financial benefits
  • Unlimited paid time off policy
  • Work from home opportunities
  • Free snacks and access to the company fitness center

Company HQ

Newhall, San Jose, CA

Leadership

Studied Engineering at Texas A&M before founding their first company in 1986. They held VP roles at both Adobe and Netflix.

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