Senior Data Scientist - Supply Chain

Job Description

Company Description

We’re ASOS, the online retailer for fashion lovers all around the world.

We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions.

But how are we showing up? We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list.

Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you.

Job Description

ASOS Supply Chain have stood up a centralised data science team to provide value across all the facets of Supply Chain such as improving the success mix around last mile customer journey, driving accuracy in warehousing, optimised inbound routing and consolidating our returns operations. You will be responsible for identifying and demonstrating the strategic business value that process intelligence provides by holding teams to account using both data analytics and situational anecdotes. You are your teams trusted advisor to help them achieve their objectives, providing rigour and removing opportunities for bias.

You will be part of a team that provides value; responsible for analysing large data sets, creating models, identifying themes and collating the data into Value Insight Packages (VIPs) which, subsequently drive mean shift improvements and / or remove variation from our processes.

The Details

• Understand customer pain points, business priorities, and strategic goals to identify relevant Value Insight Packages.
• Improve data quality and governance standards as executed by Data Owners & Stewards within the domain. Help identify data quality gaps and support their resolution, creating trusted data sets and eradicating anything that might undermine trust.
• Analyse customer data within ASOS platforms to identify process inefficiencies and potential areas for improvement including tracking of non-compliance or variance vs the design intent path.
• Using ASOS data and external experience, model relationships of different factors to support business requirements.
• Develop compelling VIPs by quantifying potential measurable outcomes requirements, efficiency gains, and potential cost savings
• Collaborate with wider Supply Chain & interrelated teams, technical consultants, and senior management to present VIPs and manage expectation, gaining adoption Work with Supply Chain teams to ensure successful implementation and ongoing value extraction from VIPs through ASOS frameworks ensuring that change happens.
• Empower others in the process intelligence journey, taking sponsorship, leading training & providing demos to stakeholders.

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 3 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

About You

• Experience with implementing RPA and/or BI Tools and/or building Dashboards, Apps and Action Flows. Knowledge of either Python, R, SQL, Spark, Hadoop, MATLAB, Git.
• Excellent communication and presentation abilities
• Ability to translate complex technical concepts into clear business language that can be tailored dependent on the audience
• Change management experience across interrelated stakeholders

Additional Information

BeneFITS’

• Employee discount (hello ASOS discount!)
• Employee sample sales
• 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