Data Scientist - Marketing/GA4 - Hybrid Working
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 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.
Reference: 2841817004
Data Scientist - Marketing/GA4 - Hybrid Working
Posted on Oct 28, 2024 by Lorien
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 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.
Reference: 2841817004
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