Senior Data Scientist

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About this role:

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 On

• Execute on the development of data modeling algorithms with a focus on: analyzing large sets of data, building models, ensuring data accuracy, reliability and consistency.
• Develop, 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.
• Consult on the use of AI to improve workflows for data extraction and classification.
• Embrace a quick build, measure and iterate cycle to bring products to market and work alongside world class engineers, and data scientists.
• Act as subject matter expert for our digital advertising.

What We Are Looking For

• Degree in Mathematics/ Statistics/ Computer Science or a related engineering/ technical or quantitative field.
  Min 4 years of experience as a Data Scientist in the ad-tech / mar-tech or data analytics companies, including the following experience in:
• business intelligence, data mining, analytics, and statistical modeling disciplines;
• analyzing and presenting data insights and code, communicating effectively with technical developers and non-technical marketing business partners, teammates and leadership;
• implementing machine learning algorithms, working end-to-end on machine learning pipelines in production;
• data engineering working on ETL pipelines, crawling APIs and websites, and automating outputs (report generation, workflow automation, Google Sheet interaction);
• setting 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;
• data research, identifying the necessary edge cases that need to be tested in order to fully understand the data;
• programming in Python or Ruby, utilizing AWS S3, MongoDB, PostgreSQL, AWS Redshift or similar database technologies;
• using Jupyter notebooks and one or more statistical visualization or graphing toolkits such as Excel, Qlik Sense or Tableau.