Data Scientist
London, England, United Kingdom
Applications have closed
MATCHESFASHION
Shop the latest designer collections for women and men from over 450 designers, including Balenciaga, Burberry, Moncler, Prada, Jacquemus and Gucci.At MATCHESFASHION we are on a mission to make data the primary source of information for guiding the decisions we make. We are looking for talented Data Scientists to help us on our journey. You will join a highly skilled department that will inspire you to develop innovative solutions to the problems we encounter in our business.
About MATCHESFASHION
- We ship to over 190 countries around the world
- Our customers are fashion conscious luxury shoppers and include stylists, celebrities, royal families
- Millions of people visit the site and our mobile app each month
- Products we sell range from less than £10 to over £50,000
- The engineering team continues to grow in 2022.
- Our website typically takes between 1 and 5 million GBP in sales a day
Life Inside Our Data Organisation
Data Science at MATCHESFASHION falls into multiple streams. Depending on what project you are working on, you could be working with several stakeholders across the whole business: Buying and Merchandising, Logistics, Loyalty, Marketing, Private Shopping and more.
Data Customer
Customers are at the heart of our business. To provide the best customer experience, we aim to understand our customers across all touchpoints of the customer journey.
MATCHESFASHION customers face a paradox of choice: our range grows and changes every day, so it gets harder for customers to find what excites them. We aim to make product discovery easy for them.
Data Science lets us effectively tackle problems related to attrition, churn, recommendations, and maximising lifetime value; thus informing our next best action. Data Science lets us offer tailored product discovery through a greater understanding of each customer’s preference, thus improving the customer experience through personalisation.
BI Efficiency
We aim to make MATCHESFASHION as operationally efficient as possible through automation of processes using our data. This includes using Data Science to forecast inventory and stock predictions to help inform our supply chain management.
Data Science lets us make better choices on how we select and buy the products we sell. This ‘Buy Optimisation’ can support on what product sizes or the quantity our Buying team procure.
Responsibilities
What will you be doing daily?
As a Data Scientist you will be working closely with product managers to seek out the best value of data science applications while also facilitating planning of the roadmap. The role is highly collaborative by nature. You will be supported by other data scientists and data engineers.
It is expected for a data scientist to own the models and analysis you create. The idea is to start simple, iterate, and add complexity. The investigations you perform and models you build will lead to improved decision making and actions done by the business. Having the results and models you generate reproducible is very important for us. Using Databricks and MLflow will help you employ good MLOps practices.
About You
You are a passionate and experienced Data Scientist who is not afraid of a challenge and aims to push the boundaries. You have a solid understanding of machine learning and statistical modelling fundamentals. Data wrangling is a key skill for all data scientists and at MATCHESFASHION it’s no different, but we have notebooks deployed on Databricks with PySpark already setup to help you wrangle the data in the most efficient way. We are looking for a mid or senior level Data Scientist who has experience with recommendation algorithms and will help other team members with technical best practices including code reviews, unit testing, and productionising models.
Our data science stack is:
- Python
- SQL
- PyTorch
- AWS and Databricks
- Python ML stack: Scikit-learn, Numpy, Pandas, Pyspark, etc...
Leadership Behaviours
At MATCHESFASHION we all adopt leadership behaviours, and these are an integral part to our everyday roles such as “results focussed” where data is used to make the most informed decision as possible. Some other behaviours such as “creativity and innovation” reflect our staff who continually experiment and iterate while always maintaining “customers at the heart of all thinking”. We also seek “passionate team players” and thrive for all employees to act like owners and make decisions at every organisational level. It means teams have much autonomy around solutions and the responsibility that goes with it.
Tags: AWS Databricks Engineering Machine Learning MLFlow MLOps NumPy Pandas PySpark Python PyTorch Scikit-learn SQL Statistics Testing
Perks/benefits: Career development
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Business Intelligence Engineer jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Data Manager jobs
- Open Data Analytics Engineer jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Junior Data Scientist jobs
- Open Business Intelligence Developer jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Data Scientist II jobs
- Open Sr. Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Data Analyst Intern jobs
- Open Principal Data Scientist jobs
- Open Data Product Manager jobs
- Open ETL Developer jobs
- Open Junior Data Engineer jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open Data warehouse-related jobs