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 oppourtunities for optmisation.
• 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.