At a Glance
- Tasks: Own real-time recommendation and pricing models that directly impact revenue.
- Company: Fast-growing, profitable company with no VC backing.
- Benefits: Competitive salary up to £220,000, equity, and bonuses.
- Other info: Join a dynamic team in London with opportunities for growth and innovation.
- Why this job: Make a real impact on user engagement and revenue through innovative ML solutions.
- Qualifications: Experience with production-scale recommender systems and fluency in Python and SQL.
The predicted salary is between 70000 - 90000 £ per year.
Salary: Up to £220,000 base + equity + bonus
The role involves optimising a market with tens of millions of users earning real rewards for engaging with advertisers' products. Every ranking decision carries a price, an incentive, and a margin. Getting the models right can lead to immediate revenue changes, while errors can disrupt the economics.
The work includes:
- Owning real-time recommendation, ranking, and pricing models at consumer scale, where engagement and conversion are direct revenue levers.
- Designing reward and user-incentive systems that balance user motivation against sustainable ROAS through uplift modelling and pricing optimisation.
- Driving experimentation focused on causal impact estimation, MMM, and Multi-Touch Attribution that influence decisions.
- Taking zero-to-one bets from initial data structures to final deployment, fully owned by you.
- Shaping the stack and system architecture with engineering, defining the gold standard for a 20-person hub.
What you bring:
- Experience with recommender systems or ranking shipped in production at scale, owned end to end.
- A Staff-level operating record, setting technical direction, creating structure in ambiguity, and engaging stakeholders while still writing code.
- Fluency in Python, SQL, and the modern data stack (DBT, Airflow, Kubernetes, Terraform) on cloud, preferably GCP, ideally from gaming, adtech, or user-incentive systems.
- Eligibility to work in the UK and willingness to be on-site in London.
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Staff Data Scientist employer: Dex
At Dex, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London-based team thrives in a fast-paced environment where your contributions directly impact our growth and profitability, with ample opportunities for professional development and career advancement. With competitive compensation packages, including equity and bonuses, we ensure that our employees are rewarded for their hard work while enjoying the unique advantages of working in one of the world's most vibrant cities.
