ASOS
Tech / AI / Software
AppliedScientist
“Applied Scientist at ASOS. Skills: machine learning, data-driven problems, customer experience, marketing decision-making, machine learning solutions, marketing-focused data science, machine learning techniques, applying models at scale, experimentation, responsible decision-making, production quality. work on real‑world, data‑driven problems that improve customer experience and support marketing decision‑making. design, test, and deploy machine learning solutions that deliver measurable value”
What You'll Achieve.
deliver measurable value; drive business outcomes
Industry & Context.
data‑driven problems; design, test, and deploy machine learning solutions that deliver measurable value; design and run experiments to evaluate models and inform product decisions
What They're Looking For.
Must Have
Experience applying machine learning or statistical methods in a practical or production-adjacent setting, Proficiency in at least one programming language commonly used in machine learning, A solid understanding of statistical concepts and software development best practices, Ability to manage your work, collaborate with others, and deliver models or prototypes aligned with business needs
Nice to Have
An interest in marketing-focused data science or machine learning problems (e.g. causal inference, incrementality, MMM), Experience or interest in areas such as causal inference, Bayesian methods, or experimentation, familiarity with relevant frameworks, An interest in research and publications or conference contributions
What You'll Do.
data‑driven problems that improve customer experience and support marketing decision‑making
and deploy machine learning solutions that deliver measurable value
design and maintain algorithms across customer‑facing and operational domains
focus on marketing‑focused data science and machine learning techniques
apply models at scale while balancing experimentation
responsible decision‑making
and production quality
and deploy machine learning solutions
contribute to marketing‑focused data science initiatives
support the development and scaling of models that drive business outcomes
design and run experiments to evaluate models and inform product decisions
keep up to date with developments in the field through research
contribute to improvements in code quality
and feature development
share knowledge through team discussions
How You'll Work.
Team & Collaboration
collaborate with engineers, product managers, and stakeholders; collaborating within a cross‑functional team; actively supporting an inclusive, respectful, and collaborative team culture; enjoy collaborating with others
Communication Scope
sharing knowledge through team discussions, learning sessions, and technical events; comfortable working with both technical and non‑technical stakeholders
Process & Methodology
manage your work
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