Lead Data Scientist (Digital Media)
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Location
London
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Sector:
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Job type:
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Salary:
Competitive
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Contact:
Lanre Akanni
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Contact email:
games@creativepersonnel.co.uk
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Phone:
0203 216 2556
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Job ref:
LA X272
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Published:
8 months ago
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Expiry date:
2022-01-10
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Startdate:
ASAP - Subject to Notice
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Client:
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If so, then this will be something for you to investigate.
The agency is agile in its approach and thinking about media and their ongoing success is built on the foundations of collaboration, respect, creativity, and they are now looking for someone, maybe you to be their Lead Data Scientist.
This role will see you based in London with the remit and responsibility to support several other markets. The structured approach to your work will see you spreading the latest and best data science practices across markets for internal and external stakeholders supporting their needs as well as contributing to the agency’s overall data strategy
To help you drive best practice you will work closely with the data engineer and collaborate with data scientists across the agency’s network, in addition, you will source and use the best in class technology and models to see how they can impact the business as well as managing and contributing to the development of analytic solutions to meet the requirements of all stakeholders.
You will be an evangelist and thought leader across the business for the value of data science practice in a digital and offline world as you support senior leaders with the overall data science strategy implementation
About You
- A strong tech stack that includes:
- An outstanding level of Python knowledge
- Open source tech such as Spark, R-shiny, and Flask
- Experience with structured and unstructured databases such as Mongo , Hive and SQL
- Good knowledge of modeling solutions experimental designs to support business decisions
- Strong commercial acumen
- Excellent stakeholder management experience
- Cross channel media planning and marketing knowledge /experience
- Understanding of digital media data sets
- Experience in building and rolling out t large scale analytics programs or initiatives on a global scale
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