Senior Applied Data Scientist - Dunnhumby Japan

Senior Applied Data Scientist
at dunnhumby (View all jobs)
Tokyo
dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First.

Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First.

dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro.
We’re looking for a Senior Applied Data Scientist who expects more from their career. It’s a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients.

You will join our advanced applied data science team, to lead end-to-end data science projects, acting as a subject matter expert for our client team, bridging the world of data science and its business applications.

You’ll investigate, develop, implement, and deploy a range of complex applications and components while working alongside smart colleagues challenging and rewriting the rules, not just following them. This means working on optimization, forecasting, and segmentation problems, quantifying risks and uncertainty and identifying impactful levers to help our clients make smarter decisions.

What we expect from you

Experience of applying advanced statistical models and machine learning algorithms to solve a variety of complex problems
Working experience ranging between 5-7 years
Logical thinking and approach to problem solving
Advanced analytical skills, Insight Analysis and Data Visualization/Story telling
Experience in effectively managing own projects that may including cross-functional and/or international team members
Ability to manage analytical work streams for client accounts and coordinate related projects with other team members
Experience with handling large data volumes with modern data processing tools, e.g. by using Hadoop / Spark
Intermediate Programming skills (Python, SQL, pySpark)
Japanese Business Level (JLPT N2+) or higher
English Business Level or higher
Experience working in retail analytics
Bachelor’s degree or higher in Mathematics, Economics, Applied Statistics, Computer Science, Physics, Engineering, or related field