This role is part of a central OMG team focussed on Innovation through data science and analytics. We work to create software to support 3 key areas of the media campaign process; from planning, through to activation, and then measurement. Relevant data is captured through various media partners and data providers and made available to us on AWS by our data engineering team.
We are looking for a Senior Data Scientist to help take a lead on development projects. In this role you will identify opportunities to apply data science that will benefit our clients, research to find the most appropriate data science algorithms for a project, implement the algorithm, and help engineer a delivery mechanism so that everyone can exploit your work.
Working within a team of Data Scientists, Engineers, and Developers, you will be helping to develop solutions to some of the biggest challenges in the industry from measuring media in a post 3rd party cookie world, to optimising multimillion-pound media budgets, and targeting audiences effectively.
Work with the UK and Global Annalect teams on new and innovative data driven solutions
Understand how media agencies operate and where data science can deliver value to them
Take a leading role in the development of data science software
Coach junior members of the team to help deliver on their projects
Communicate progress and timelines throughout your projects
Adapt products developed in other markets and roll them out for use by the UK agencies
Help the agencies take advantage of the products we develop
Support our products through the software development lifecycle from PoC to Prototype to Production to Maintenance and Support
Strong grasp of Maths, Statistics and Probability, Machine Learning, Optimisation, and Time Series modelling
4 to 5 years commercial data science experience
Enthusiastic about driving innovation, holding a curious mind-set
Enjoys collaborating as part of a large network of data scientists, data engineers, analysts, and media experts
Strong communication skills
Confident in coaching and supporting other data scientists at the start of their career.
Experience in R, including writing and editing R packages and developing R Shiny applications
Experience in Python
Able to write efficient SQL to extract data from large databases
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