Senior Research Data Scientist
Senior Research Data Scientist
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Job Description
dunnhumby is the global leader in Customer Data Science empowering businesses everywhere to compete and thrive in the modern datadriven 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 worlds most competitive markets with a deluge of multidimensional data dunnhumby today enables businesses all over the world across industries to be Customer First.
dunnhumby employs nearly 2500 experts in offices throughout Europe Asia Africa and the Americas working for transformative iconic brands such as Tesco CocaCola Meijer Procter & Gamble and Metro.
Were looking for a talented Senior Research Data Scientist who expects more from their career
You will be at the forefront of dunnhumbys research data science team where you will be translating a complex business problem into a data science problem and solving that with scalable and stateofthe art AI algorithms. Joining our research data science team you will be helping identify new opportunities within the Data Science space for future dunnhumby solutions. Learn from experts and grow your career in our organisation
What we expect from you
Degree or equivalent in a statistical or mathematical subject.
- 5 to 7 Years of experience in Data Science
- Good understanding of statistics and mathematical methodologies used especially forecasting regression linear models time series hypothesis tests and optimisation
- Ability to prototype solutions using Python and Spark to facilitate development and testing of algorithms on large data sets
- Good understanding of machine learning techniques with applications to classification prediction and clustering
- Ability to apply and extend experimental design methodology to conduct rigorous measurement of treatment effects
- Good working knowledge of databases including SQL relational and nonrelational data models
- Experience of using following algorithm at scale: Ancova linear models with regularization clustering random forests xgboost
- Research the latest machine learning approaches
- Good grasp of ObjectOriented Programming
- Stakeholder Management
- Ability to quickly learn opensource statistics and machine learning packages Pandas SciPy Scikit learning Tensor flow.
- Experience in developing solutions related to Market Mix Modelling Causal AI and Generative AI
What you can expect from us
We wont just meet your expectations. Well defy them. So youll enjoy the comprehensive rewards package youd expect from a leading technology company. But also a degree of personal flexibility you might not expect. Plus thoughtful perks like flexible working hours and your birthday off.
Youll also benefit from an investment in cuttingedge technology that reflects our global ambition. But with a nimble smallbusiness feel that gives you the freedom to play experiment and learn.
And we dont just talk about diversity and inclusion. We live it every day with thriving networks including dh Gender Equality Network dh Proud dh Family dh One and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. For an informal and confidential chat please contact to discuss how we can meet your needs.
Our approach to Flexible Working
At dunnhumby we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others so if this is important to you please raise this with your recruiter as we are open to discussing agile working opportunities during the hiring process.
For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
Required Experience:
Senior IC
Employment Type
Full Time
