Senior Data Scientist, Ad Intelligence

Quick Intro to Sensor Tower

Sensor Tower is a high-growth SaaS company that provides accurate, comprehensive, and customizable mobile market economy analytics to app developers, marketers, and industry analysts across gaming, travel & hospitality, music, finance, broadcast entertainment.

We serve a wide range of clients from early-stage mobile innovators to industry-leading Fortune 500 companies.

As a high-integrity source of industry insight, Sensor Tower is regularly 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.

Founded in 2013, Sensor Tower has grown from a $1M seed investment to being profitable and in 2020 we received a $42M growth investment from Riverwood Capital.

Role Summary:

As 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)

What is it like working at Sensor Tower? 

Sensor Tower’s flexible work environment allows employees to choose how much they want to work remotely or in an office.

We offer flexible time off so employees can shape their time away from the office.

Our model allows employees to live in greater connection with the people, traditions, places, and activities they love while contributing to their team! 

Sensor Tower provides fair and competitive compensation packages that honor the investment our team members make each day.

To support health and wellbeing, we offer industry-standard benefits and additional perks that our employees love.

This includes stipends for office and/or gym setup, home internet, and daily meal delivery. 

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, and veteran status.

In support of the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

If you have a disability or special need, please do not hesitate to let us know and we’ll do our best to accommodate.

Interested in learning more?

Submit your info and let’s get a conversation going!

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