Sr. Data Scientist / Staff Data Scientist

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Overview of the Opportunity

StackAdapt, a leading self-serve advertising platform, is on the lookout for a Sr. Data Scientist / Staff Data Scientist to join its expanding engineering team. The company specializes in various multi-channel advertising solutions that include native, display, video, connected TV, audio, in-game, and digital out-of-home ads. This position is open to candidates located anywhere in the UK, encouraging a remote work model.

About StackAdapt

Founded with the vision to provide more than just an advertising platform, StackAdapt strives to be a hub of innovation and creativity. The platform is connected to thousands of publishers and advertisers globally, managing millions of requests and making billions of decisions each second. StackAdapt is focused on tackling challenges surrounding traffic, data storage, machine learning, and scalability through the application of the latest technologies.

Job Responsibilities

In this role, the Data Scientist will engage in several key activities:

  • Innovate ML algorithms with the aim to maximize return on investment (ROI) and enhance advertising performance. This could involve creating entirely new algorithms, improving state-of-the-art methods, or developing approaches rooted in a solid understanding of classic techniques.

  • Write production code in collaboration with Data Engineers for implementing novel machine learning algorithms.

  • Prototype potential algorithms and pipelines. This entails testing using historical data and iterating based on insights gathered from the initial tests.

Required Skills and Qualifications

To be considered for this position, candidates must have:

  • A Master's degree or PhD in Computer Science, Statistics, Operations Research, or a related field; having dual degrees is a plus.

  • The aptitude to take an ambiguously defined task and breakdown into actionable steps.



  • A comprehensive understanding of statistics, optimization, and machine learning principles.

  • Proficiency in coding, data structures, and algorithms.

  • An enjoyment for working within a collaborative and friendly environment.

Company Culture and Benefits

StackAdapt promotes a friendly, welcoming, and supportive culture. Employees enjoy a host of benefits, including:

  • A competitive salary.
  • Private Medical Insurance coverage.
  • Auto-enrollment in the company pension scheme.
  • Work from home reimbursements.
  • Support for personal development initiatives, such as attending conferences and courses.
  • A generous parental leave policy.
  • Opportunities for virtual social and team events.
  • Flexibility to take part in their walk and wander policy, allowing team members to work from anywhere in the world for up to 90 days a year.

Diversity and Inclusion

StackAdapt prides itself on being a diverse and inclusive team. They welcome individuals from various backgrounds, ethnicities, abilities, and experiences. The company encourages those from every walk of life to apply and is dedicated to accommodating any needs during the interview process to support potential candidates.

Application Process

Individuals interested in this role are encouraged to submit an application. StackAdapt operates on a high volume of interest and will only contact those shortlisted for interviews.

In conclusion, this role at StackAdapt not only presents an excellent opportunity to work with state-of-the-art technology but also embodies a strong company culture that values innovation, diversity, and employee well-being. It stands as a compelling chance for talented data scientists looking for a challenging and rewarding career in the advertising technology space.



This job offer was originally published on jobicy.com

StackAdapt

UK

Data science

Full-time

February 17, 2025

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This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.