Staff Data Scientist - Real-Time Ranking & Revenue Systems

Staff Data Scientist - Real-Time Ranking & Revenue Systems

Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
Dex

At a Glance

  • Tasks: Optimise real-time recommendation and ranking models for a consumer-focused platform.
  • Company: Join Dex, a forward-thinking company at the forefront of data science.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: On-site role in London with excellent career advancement potential.
  • Why this job: Shape innovative systems and drive impactful user experiences in a dynamic environment.
  • Qualifications: Strong background in recommender systems, Python, SQL, and proven achievements.

The predicted salary is between 70000 - 90000 Β£ per year.

Dex is seeking an experienced professional to optimize real-time recommendation, ranking, and pricing models at consumer scale. The ideal candidate will have a strong background in recommender systems, leading technical directions, and expertise in Python and SQL within modern data environments.

This role demands the capacity to shape systems architecturally and drive user-incentive design effectively. As a staff level role, you will need substantial past achievements in a similar capacity, along with the willingness to work on-site in London.

Staff Data Scientist - Real-Time Ranking & Revenue Systems employer: Dex

At Dex, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. As a Staff Data Scientist, you will have access to cutting-edge technology and the opportunity to lead impactful projects in a vibrant London setting, all while benefiting from continuous professional development and a supportive team environment. Join us to be part of a forward-thinking company that values your expertise and encourages growth.

Dex

Contact Details:

Dex Recruitment Team

We think you need these skills to ace Staff Data Scientist - Real-Time Ranking & Revenue Systems

Recommender Systems
Technical Leadership
Python
SQL
System Architecture
User-Incentive Design
Data Optimisation