Senior Data Scientist CustomerMarketing

ASOS; Greater London; On-site; GBP 55,000 - 75,000; Full time

Job summary

A leading online fashion retailer is seeking a Senior Data Scientist to enhance marketing effectiveness through causal inference techniques and collaboration within marketing and technology teams. The role involves driving technical development, mentoring juniors, and keeping abreast of state-of-the-art research. Candidates should have hands-on experience in Python and deep learning frameworks, and ideally some experience in retail marketing. The position requires in-office collaboration at least twice a week.

Benefits

Employee discount

Personal development opportunities

Access to LinkedIn learning materials

25 days paid annual leave

Discretionary bonus scheme

Private medical care scheme

Flexible benefits allowance

Qualifications

• Hands-on experience using causal inference techniques.
• Knowledge of developing geo-experimentation frameworks or MMM models.
• Comfortable in Python and familiar with deep learning frameworks.

Responsibilities

• Drive the development of geo-experimentation products.
• Keep up-to-date with relevant research and publish prototypes.
• Mentor and coach junior team members.

Skills

Causal inference techniques

Python software stacks

Deep learning frameworks (TensorFlow/Keras, PyTorch)

Retail marketing knowledge

Cross-functional teamwork

Job description

Details

We are looking for a Senior Data Scientist with expertise in causal inference and statistics to join our cross‑functional Marketing Effectiveness team. Our Marketing Effectiveness team plays a key role helping ASOS provide the best shopping experience to millions of customers using techniques such as incrementality testing and media mix modelling to understand measure and optimise marketing spend. The role offers broad exposure to ASOS requiring close collaboration with retail marketing and technology divisions.

• Driving the technical development and improvements of our geo‑experimentation product used to model incremental uplift of ASOS digital spend and our media mix modelling capability that supports long‑term media planning.
• You will be keeping up to date with relevant state‑of‑the‑art research taking part in reading groups alongside other scientists with the opportunity to publish novel prototypes for the business at top conferences.
• You will be continually developing and improving our code and technology taking an active role in the conception of brand‑new features for our millions of global customers.
• You will be mentoring and coaching junior members of the team supporting their technical progress.

We believe being together in person helps us move faster, connect more deeply and achieve more as a team. That's why our approach to working together includes spending at least 2 days a week in the office. It's a rhythm that speeds up decision‑making helps ASOSers learn from each other more quickly and builds the kind of culture where people can grow, create and succeed.

Qualifications

• You are an experienced Applied Scientist with hands on experience of using causal inference techniques. Ideally with experience of developing geo‑experimentation frameworks and / or MMM models that have been used to measure the impact of digital media spend.
• Will have some knowledge or experience of working in retail marketing or the e‑commerce industry. You thrive in working in a cross‑functional platform including scientists, engineers and non‑technical stakeholders.
• You are comfortable working in Python software stacks and familiar with at least one deep learning framework (such as TensorFlow / Keras and PyTorch) and enjoy going from ideas and prototypes into products and applications.

BeneFITS

• Employee discount (hello ASOS discount!)
• ASOS Develops (personal development opportunities across the business)
• Employee sample sales
• Access to a huge range of LinkedIn learning materials
• 25 days paid annual leave an extra celebration day for a special moment
• Discretionary bonus scheme
• Private medical care scheme
• Flexible benefits allowance - which you can choose to take as extra cash or use towards other benefits

Remote Work : No

Employment Type : Full‑time

Key Skills

Laboratory Experience, Mammalian Cell Culture, Biochemistry, Assays, Protein Purification, Research Experience, Next Generation Sequencing, Research & Development, cGMP, Cell Culture, Molecular Biology, Flow Cytometry

Experience : years

Vacancy : 1