Senior Data Scientist - Customer/Marketing

ASOS.com
City of London
3 months ago
Applications closed

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Location: London, England, United Kingdom


Company Overview

ASOS is an online retailer for fashion lovers worldwide. We empower customers to be confident and offer a creative platform that impacts millions.


Job Description

We are looking for a Senior Data Scientist with expertise in causal inference and statistics to join our cross‑functional Marketing Effectiveness team. The team helps ASOS deliver the best shopping experience by employing incrementality testing and media mix modelling to understand, measure, and optimise marketing spend.


Responsibilities

  • Drive the technical development and improvement of our geo‑experimentation product used to model incremental uplift of ASOS’ digital spend.
  • Develop and enhance our media mix modelling capability that supports long‑term media planning.
  • Keep up‑to‑date with state‑of‑the‑art research, participate in reading groups, and publish novel prototypes at top conferences.
  • Continuously develop and improve code and technology, and contribute to brand‑new features for our global customer base.
  • Mentor and coach junior team members, supporting their technical progress.

Qualifications

  • Experienced Applied Scientist with hands‑on experience using causal inference techniques.
  • Experience developing geo‑experimentation frameworks or MMM models that measure digital media spend impact.
  • Knowledge or experience in retail, marketing, or ecommerce; thrives in cross‑functional platform environments.
  • Comfortable working in Python, familiar with deep learning frameworks such as TensorFlow/Keras or PyTorch, and enjoys transforming prototypes into products.

Benefits

  • Employee discount
  • ASOS Develops personal development opportunities
  • Employee sample sales
  • Access to LinkedIn learning materials
  • 25 days paid annual leave plus an extra celebration day
  • Discretionary bonus scheme
  • Private medical care scheme
  • Flexible benefits allowance (cash or other benefits)

Seniority Level

Mid‑Senior level


Employment Type

Full‑time


Job Function

Information Technology


Industries

Retail


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