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Data Scientist - Marketing / GA4 - Hybrid Working

Lorien
Posted 3 days ago, valid for 7 days
Location

London, Greater London EC1R 0WX

Salary

£48,000 - £57,600 per annum

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Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • Our client is seeking a Marketing Data Scientist with at least 2 years of experience in marketing data science and expertise in Databricks and Python for a hybrid contract position based in London.
  • The role involves solving high-value business problems through data analysis, designing and analyzing marketing experiments, and developing multi-touch attribution models to optimize marketing investments.
  • Candidates should have proven experience in statistical modeling techniques such as Bayesian Algorithms, Regression, and Neural Networks, as well as familiarity with GA4 and A/B testing frameworks.
  • The position requires strong skills in delivering actionable insights to both technical and non-technical audiences, along with knowledge of GDPR implications on data management.
  • Salary details are not specified, but the role is positioned within the STEM portfolio of Carbon60, Lorien & SRG, acting as an Employment Business for this vacancy.

Data Scientist - Marketing / GA4 - Hybrid Working

Our client are currently looking to hire a Marketing Data Scientist with Databricks and Python experience to join the team on a contract basis. This role would be hybrid working, with the client site based in London.

In this role you will:

  • Provide solutions to high value business and systems problems using data analysis, data mining, optimisation tools, and machine learning techniques and statistics.
  • Design, execute, and analyse marketing experiments including creative, audience and channel testing to enable the the continual improvement of marketing effectiveness.
  • Develop, manage and calibrate a multi-touch / MMM attribution model that replaces our reliance on last-click data to help us optimise our marketing investments.
  • Develop predictive models that identify key signals correlated with acquisition, churn and cross-sell so that we can prioritise opportunities for optimisation.
  • Create and present bespoke analysis, drawing clear and actionable conclusions and suggestions for improvement.
  • Design processes to formally set up our Data Science service in collaboration with the team to deliver against agreed priorities.
  • Deliver quick working prototypes to prove hypotheses by building complex statistical models using a range of tools including Python and Spark.

Key Knowledge and Experience:

  • 2+ years Marketing Data Science experience
  • Proven experience in developing statistical models like Bayesian Algorithms, Multitouch Attribution, Regression, GLM, Neural Networks, Decision Trees, and Affinity Analysis.
  • Proven experience in developing models in Python.
  • Experience developing and applying A/B testing frameworks
  • Experience with GA4
  • Experience in carrying out complex analysis using various data sources and types
  • Experience of delivering projects in an agile environment using tools such as GIT, JIRA and DevOps
  • Understanding of core statistical concepts and their applications when working with data
  • Proven track record in the delivery of actionable customer intelligence to both technical and non-technical audiences.
  • Knowledge of GDPR and likely implications on data management
  • Experience with the Databricks platform and its key features such as creating workflows and interacting with data within the Unity Catalog
  • The ability to design and deliver technical solutions to business problems using our data
  • A passion for working analysing data and developing statistical models
  • Experience of analytics, data science and BI approaches and technologies

If this role would be a good fit for your skills and experience, please apply!

Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.