Marketing Analytics Professional
4 days ago
We are looking for someone at the top of their game who has a proven track record in developing high-performance, secure applications for clients and internal stakeholders alike. We require experience in developing client-facing web-based tools, knowledge of cloud computing, and proficiency in Python using core data science libraries such as pandas, seaborn, scikit-learn, and statsmodels.
Requirements:- Experience developing client-facing web-based tools, with experience in tools like Dash/Flask/Streamlit. Experience of R Shiny would again be highly valuable
- Knowledge of cloud computing, particularly GCP or AWS, and of orchestrating and automating tasks in this environment
- Proven track record of building solutions in Python using core data science libraries such as pandas, seaborn, scikit-learn, and statsmodels. Experience R libraries such as the tidyverse family, plotly, highcharter, nloptr, R6, testthat would be highly valuable
- Experience working with relational databases such as MySQL or Postgres would be a plus
- Familiarity with solutions such as Git and Docker
- Experience and interest of working in marketing analytics and of using techniques such as Multi-Touch Attribution, Marketing Mix Modelling or similar would be highly desirable
- Knowledge of machine learning techniques such as Neural Nets, Random Forest or XgBoost and working with LLMs and associated techniques would be beneficial
- You are highly driven, dedicated, and have a keen sense of personal responsibility, and are happy working independently and as part of a team on projects and solutions
- Ability to communicate complex ideas to non-technical stakeholders a must
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Senior Marketing Analytics Specialist
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