Senior Data Scientist

2 weeks ago


Camden Area, Greater London, United Kingdom Sensor Tower Full time
Do you want to work for a company with a successful track record of profitability?

Are you looking to solve innovative data collection and processing problems at scale?

Are you interested in working on high-visibility, rapid-release products?

Do you value working with talented, experienced, friendly colleagues?

Join us in our journey to change how the world gains insights in digital marketing


The Senior Data Scientist at Sensor Tower will leverage digital advertising along with mobile, desktop, and OTT industry knowledge to drive strategies that improve the accuracy and offerings for our Digital Marketing insights solution.

This solution draws upon large-scale data (over 140 billion data records) and allows our customers to uncover insights like which apps or brands are advertising the most by channel and platform, which creatives are performing the best across certain ad networks, which ad network an advertiser is marketing on the most, and how much advertisers are spending in a channel and country.


What You Will Work OnnExecute on the development of data modeling algorithms with a focus on: analyzing large sets of data, building models, ensuring data accuracy, reliability and consistency.nDevelop, refine and bring data models to production.

This role will work on models that are consumed by our end users, building internal tools and one time reports as well as working on the actual product that our users consume and rely on every day.nConsult on the use of AI to improve workflows for data extraction and classification.nEmbrace a quick build, measure and iterate cycle to bring products to market and work alongside world class engineers, and data scientists.nAct as subject matter expert for our digital advertising.


What We Are Looking FornDegree in Mathematics/ Statistics/ Computer Science or a related engineering/ technical or quantitative field.nMin 4 years of experience as a Data Scientist in the ad-tech / mar-tech or data analytics companies, including the following experience in:nbusiness intelligence, data mining, analytics, and statistical modeling disciplines;nanalyzing and presenting data insights and code, communicating effectively with technical developers and non-technical marketing business partners, teammates and leadership;nimplementing machine learning algorithms, working end-to-end on machine learning pipelines in production;ndata engineering working on ETL pipelines, crawling APIs and websites, and automating outputs (report generation, workflow automation, Google Sheet interaction);nsetting and meeting detailed timelines and expectations while executing projects, developing projects in a resilient way that anticipates future changes and interaction with other parts of the product;ndata research, identifying the necessary edge cases that need to be tested in order to fully understand the data;nprogramming in Python or Ruby, utilizing AWS S3, MongoDB, PostgreSQL, AWS Redshift or similar database technologies;nusing Jupyter notebooks and one or more statistical visualization or graphing toolkits such as Excel, Qlik Sense or Tableau.

Technical Blog PostsnRead more about what our Engineers and Data Scientists do:

offer unique insights into the digital marketplace for mobile apps and app stores, consumer app usage, digital advertising, and brands with our recent acquisition of Pathmatics.


CustomersnWe serve small, independent and Fortune 1000 customers alike, spanning the mobile games, travel & hospitality, music, finance, CPG, and broadcast entertainment markets.

We offer our suite of products on free, small-medium-size business, and enterprise tiers to make it accessible to the broadest range of customers.


MedianWe are cited by the world's leading news and finance media: The Wall Street Journal, The New York Times, Forbes, Fortune, Bloomberg, CNBC, The Washington Post, and Reuters.



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