
SaaS • Advertising • Technology
mediasmart is a global programmatic advertising technology company that specializes in omnichannel targeting and impactful advertising solutions. It offers a self-serve platform for mobile, connected TV (CTV), and digital out-of-home (DOOH) ads, enabling synchronized ad campaigns across multiple channels and devices. The platform supports programmatic buying, leveraging data-driven strategies to optimize advertising performance, enhance brand recognition, and drive customer engagement. mediasmart prioritizes brand safety and compliance with privacy regulations, offering advanced tools for real-time ad viewability and fraud prevention. The company operates in over 150 countries and has received numerous awards for its innovative use of programmatic advertising.
November 20

SaaS • Advertising • Technology
mediasmart is a global programmatic advertising technology company that specializes in omnichannel targeting and impactful advertising solutions. It offers a self-serve platform for mobile, connected TV (CTV), and digital out-of-home (DOOH) ads, enabling synchronized ad campaigns across multiple channels and devices. The platform supports programmatic buying, leveraging data-driven strategies to optimize advertising performance, enhance brand recognition, and drive customer engagement. mediasmart prioritizes brand safety and compliance with privacy regulations, offering advanced tools for real-time ad viewability and fraud prevention. The company operates in over 150 countries and has received numerous awards for its innovative use of programmatic advertising.
• Research and development of DS initiatives to our cross device performance engine • Perform scientific exploration and analysis of algorithm improvements • Communicate accordingly to stakeholders: our senior DS staff, the CTO, other Affle DS units, as well as the CTV engineers and performance specialists. • Be part of a unit where technology is valued: CD/CI, DevOps, flat hierarchy, learning and training opportunities and a culture of innovation. • Your work will be used in production to serve millions of requests per second, with response time measured in milliseconds. Your team works with best of the grade code standards and review practices. Your code and ideas will be responsible for millions of real time bidding auctions generating millions of dollars on revenue distributed cloud regions over the globe. • Participate in discussions on analytics and model architecture, contribute to design reviews for data and ML workflows, and take part in peer code reviews. • Participate in resolution of client tickets such as but not limited to investigations for performance problems, coordination of tests and new features, or providing coaching and support for non DS knowledgeable engineering staff. • Participate in analysis and bug fixing of the ongoing issues presented by our clients represented by operations, performance, or sales teams. • Be an active data scientist and coder in our team.
• +4 years of experience as a Data Scientist. • Relevant experience in Applied Mathematics, Statistics, Computer Science, Econometrics, Physics, or other quantitative fields. • Demonstrate proficiency with our current Data Science Stack: Python (3.9+) and Scientific/ML Python stack (NumPy, SciPy, Pandas, Scikit learn) • Experience working with ML technologies and building model training pipelines end-to-end. • Experience working with relational databases. • Fluent in English, both oral and written, as this is the language used for interaction with most of the stakeholders and the business language for all our tools and documentation.
• Remote work • Flexible working hours • To be part of a small team with direct impact in the final product • Using state of the art technologies • Educational resources • Creative Fridays: one day every two weeks to work on your own ideas
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