StackAdapt is a leading technology company that empowers marketers to reach, engage, and convert audiences with precision.
The company utilizes an AI-powered Marketing Platform that performs 465 billion automated optimizations per second.
StackAdapt connects brand and performance marketing to drive measurable results across the entire customer journey.
The company is searching for a talented senior level Data Scientist to join their engineering team as they expand their data science efforts.
The platform is connected to thousands of publishers and advertisers worldwide, handling millions of requests each second and making billions of decisions.
The role involves innovating ML algorithms to maximize ROI and advertising performance, which includes creating new algorithms and improving existing methods.
Responsibilities include writing production code, collaborating with Data Engineers, prototyping algorithms and pipelines, and testing them using historical data.
Requirements:
Candidates must have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field; dual degrees are a plus.
The ability to take ambiguously defined tasks and break them down into actionable steps is essential.
A comprehensive understanding of statistics, optimization, and machine learning is required.
Proficiency in coding, data structures, and algorithms is necessary.
Candidates should enjoy working in a friendly, collaborative environment with others.
Benefits:
StackAdapt offers a competitive salary.
Employees receive private medical insurance coverage.
There is auto-enrolment into the company pension scheme.
Work from home reimbursements are provided.
The company supports personal development initiatives, including coverage for conferences and courses.
An excellent parental leave policy is in place.
Employees enjoy a friendly, welcoming, and supportive culture.
The company hosts social and team events virtually.
Employees can participate in the walk and wander policy, allowing them to work anywhere in the world for up to 90 days a year.
