Senior Data Scientist - Staff Data Scientist

December 13, 2024

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StackAdapt

StackAdapt is a leading programmatic advertising platform that connects advertisers to audiences, enabling campaigns to achieve high conversion rates. The platform offers real-time visibility into campaign performance and provides advanced targeting options, including contextual, audience, and location-based targeting. With features such as native, display, video, and connected TV advertising, StackAdapt serves as an end-to-end solution for planning, executing, and analyzing digital advertising campaigns. The company leverages artificial intelligence and machine learning algorithms to optimize ad targeting and enhance user experiences. StackAdapt is recognized for its ease of use, detailed reporting, and extensive third-party audience library, catering to industries such as B2B, finance, political, healthcare, retail, and more.

Content amplification • Content Distribution • Advertising • Native Ads • Display Ads

501 - 1000 employees

Founded 2013

☁️ SaaS

🤖 Artificial Intelligence

💰 Series A on 2016-01

📋 Description

• StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads. • We empower hundreds of digitally-focused companies to deliver outcomes and exceptional campaign performance everyday. • We are searching for a talented Data Scientist to join our engineering team as we continue to expand our data science efforts. • Our platform is connected to thousands of publishers and advertisers worldwide and as a result, we're dealing with millions of requests each second, making billions of decisions. • We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability.

🎯 Requirements

• Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus. • Have the ability to take an ambiguously defined task, and break it down into actionable steps • Have a comprehensive understanding of statistics, optimization and machine learning • Are proficient in coding, data structures, and algorithms • Enjoy working in a friendly, collaborative environment with others

🏖️ Benefits

• Competitive salary • Private Medical Insurance cover • Auto-enrolment into the company pension scheme • Work from home reimbursements • Coverage and support of personal development initiatives (conferences, courses, etc) • An awesome parental leave policy • A friendly, welcoming, and supportive culture • Our social and team events (virtually!) • Take part in our walk and wander policy and work anywhere in the world for up to 90 days a year

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