Senior Data Scientist, Ad Intelligence
San Francisco, California
Applications have closed
Sensor Tower
Market intelligence for the global digital economy. Responsibly Sourced Data. Digital advertising and mobile intelligence platform.We serve independent and Fortune 500 customers alike, spanning the mobile games, music, finance, and broadcast entertainment markets. Our best-in-class enterprise products include Store Intelligence, Usage Intelligence, Ad Intelligence, and App Intelligence.
We are a privately held company headquartered in San Francisco. Our insights are cited by the world’s leading news and finance publications, including the Wall Street Journal, The New York Times, Forbes, Fortune, Bloomberg, CNBC, The Washington Post, and Reuters.
Role SummaryAs a Senior Data Scientist, Ad Intelligence, you will be the expert on all things related to competitive insights for the mobile advertising space. You will leverage your mobile advertising and mobile industry knowledge to develop and implement models used to generate our Ad Intelligence data. This data allows one to uncover insights such as which app publishers are advertising the most on mobile app campaigns, which creatives are performing best across certain ad networks, and which ad network a publisher is marketing on the most.
You’ll be working on a wide range of models designed to be able to both accurately estimate the data spanning the largest advertisers and the long tail. Managing the scale of data and the load will be key to ensuring the success of the product. To learn more about one of these challenges, here's a link to our blog post describing how to speed up the backend with graph theory. You can read more about our industry-leading Ad Intelligence solution here.
Requirements
- Master's degree or above in mathematics, statistics, or computer science
- 5+ years applied experience in business intelligence, data mining, analytics, or statistical modeling in technology or mobile industries
- 3+ years of experience in a technical role within the mobile advertising space (i.e. experience at mobile attribution companies, mobile ad networks, mobile ad agencies)
- 3+ years of programming experience (Ruby or Python)
- A passion for data analysis and presentation of data insights
- Ability to communicate effectively with technical developers and non-technical marketing business partners
- Ability to self-direct and consider the business impact in project development
- Moderate experience implementing machine learning algorithms (e.g. you are able to put your models into production)
- Good working knowledge of MongoDB
- Strong proficiency with one or more statistical visualization or graphing toolkits (MS Excel, a Javascript framework like Highcharts or Tableau)
Why Join Sensor Tower?
- We were named one of the 50 Tech Companies to Know in 2020 by BuiltIn
- After seven years of building Sensor Tower off of $1MM (Seed, 2013), we're excited to announce our $45MM growth investment. Read more about it here, in the words of our co-founders.
- We have a birds-eye view of the entire mobile app ecosystem, and we keep our teams constantly abreast of the latest mobile app trends, news, and best practices.
- You align with our Core Values: Customer-Focused, Innovative, Continuously Learning, Action-Oriented, Respectful, Data & Metrics-Driven.
- We grant options to all of our employees because we recognize that everybody plays an integral role in our success; thus all employees should be invested in Sensor Tower (both figuratively and literally).
- We offer unlimited PTO, Health and Wellness stipends, flexible work hours, 401K, team trips (white water rafting, Hawaii, and weekend Tahoe mansion trips to name a few), and more
- Covid-19 Specific benefits: Stipend to set up your home office and/or gym, WiFi stipend, daily UberEats delivery stipend, and virtual team events
Sensor Tower is proud to be an equal opportunity workplace.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
If you have a disability or special need that requires accommodation, please let us know.
Tags: Business Intelligence Computer Science Data analysis Data Mining Engineering Excel Finance JavaScript Machine Learning Mathematics MongoDB Python Ruby Statistical modeling Statistics Tableau
Perks/benefits: Career development Flex hours Flex vacation Health care Home office stipend Team events Unlimited paid time off Wellness
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