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Data Scientist


Data Science and Engineering
Philippines - Advanced Manufacturing Office

Data Scientist


About us 

We are responsible for assessing the success of Dyson’s products in market and identifying the drivers of reliability and satisfaction in our technologies. Using data from a wide range of sources and business domains, we unlock valuable insights that can be fed back into the business to ensure that we continue to delight Dyson owners with innovative and ground-breaking technology.


We push the boundaries of what others have defined as possible. Our approach starts with an engineering mindset and different thinking. Then we continuously refine our ideas – unwilling to compromise and driven by an obsession for finding a better way.


About the role 


We are currently seeking a Data Scientist to join the Business Intelligence (BI) team embedded within the Quality function. We are interested in speaking to people at all Levels (Analyst, Senior and Lead) who have relevant industry experience or skillset.


This role is essential to protect Dyson and its customers from any changes that could impact product reliability or user satisfaction. The role will focus on identifying leading indicators of product quality using data from our manufacturing sites to predict in market performance using established data science techniques. You will need to be comfortable managing and manipulating cloud-based data sources and applying scientific and analytics tools to these datasets. It would be beneficial but not necessary if you have experience of Tableau/Looker/Power BI or a similar visualisation tool that can bring the data to life and ‘tell the story’ to non-technical colleagues of any level.


Creative thinking & persistence is a prerequisite of this role and necessary attributes for explaining the key drivers of any trends and features identified.


As well as BI colleagues you will collaborate closely with product and category engineers, IT and data infrastructure teams as-well-as external and internal manufacturing and operational teams across the globe.


About you 


-     Practical application of data science tools, techniques and methodologies.

-     Relevant experience in Cloud Data Analysis e.g., BigQuery (or Redshift or Snowflake).

-     Proficient in leveraging Python for comprehensive data analysis (optional: machine learning).

-     Demonstrated expertise in applying advanced statistical techniques such as hypothesis testing.

-     Basic knowledge of data engineering tools such as DBT and ETL techniques.

-     Adept at articulating findings effectively, both visually and verbally, and constructing compelling narratives to management.

-     Desirable to have experience in the logistics, supply chain or manufacturing domain, such as MES (Manufacturing Execution Systems).

-     Desirable to have experience with Tableau, Looker, Qlik or Power BI for data visualization.

-     Relevant experience in project and stakeholder management.

-     Forward thinking and thrives on change with the ability to deliver under pressure.

-     Interested in how business works and desire to improve our performance.

-     Self-motivated, dynamic and results driven.

-     Team player, comfortable dealing with all business levels.

-     Ethical, personal integrity.

-     Attention to detail without losing bigger picture.

Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.