Data Scientist

Summary

Join StackAdapt, a self-serve advertising platform, as a Data Scientist to contribute to our expanding data science team. You will innovate machine learning algorithms to maximize ROI and advertising performance, writing production code and collaborating with Data Engineers. The role involves prototyping algorithms, testing them with historical data, and iterating based on insights. StackAdapt is a Remote First company, open to UK-based candidates. We offer competitive salaries, benefits, and a supportive work environment. The ideal candidate will possess a Master's or PhD in a relevant field and strong skills in statistics, optimization, machine learning, and coding.

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

Responsibilities

• Innovate ML algorithms to maximize ROI and advertising performance. This ranges from creating entirely new algorithms, to improvements on state-of-the art methods, to development using a deep understanding of classic methods
• Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms
• Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights

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