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Senior Data Scientist

Senior Data Scientist

Harnham - Data & Analytics Recruitment

Posted a day ago, valid for 24 days

Manchester, Greater Manchester M17 1DJ, England

Full Time

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Sonic Summary

The telecoms company is seeking a Senior Data Scientist to join their MarTech team, which collaborates across Marketing, Data Science, Data Engineering, and Product Development.
The ideal candidate should have at least 5 years of experience in the digital marketing domain and will be responsible for developing advanced analytics and modeling solutions.
Key responsibilities include designing segmentation and propensity models, optimizing bidding models, and developing attribution models to enhance marketing strategies.
The Senior Data Scientist will manage a team of 3 data scientists and work closely with the analytics engineer to ensure data accuracy for modeling.
The salary for this position is competitive and reflective of the candidate's experience, with the role requiring in-person attendance in London one day a month.

Senior Data Scientist - 1 day a month in London

We are working with a telecoms company looking to add a Senior Data Scientist to their newly formed, cross-functional MarTech team. This team brings knowledge from Marketing, Data Science, Data Engineering and Product Development whilst working closely with the broader data teams to ensure integration and delivery.

We are looking for a Senior Data Scientist with experience in the digital marketing domain, to drive the development of advanced analytics and modeling solutions to inform and optimise paid media marketing strategies. You will manage a small team of 3 data scientists and report into a lead.

Responsibilities:

Design and implement segmentation models and propensity models to create actionable customer groups for targeted marketing strategies
Build and optimise value-based bidding models and first-party enrichments to maximise ROAS and relevant business growth metrics
Develop and refine attribution models (e.g., multi-touch, data-driven attribution) to measure and improve the effectiveness of digital marketing campaigns
Analyse and interpret marketing data from various sources (including GA4, Snowplow, ad platforms, etc)
Partner with the analytics engineer to build features and data enrichments, while ensuring data accuracy for modeling purposes

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