Job highlights

- Skills and Qualifications . Bachelors or master s degree in Statistics,Mathematics,ComputerScience,or related quantitative field . 2-4 years experience in applied data science,preferably inmarketing / retail .
- Work Exp. Havas CSA isseeking a Data Scientist with 2-4 years of experience to contribute to advancedanalytics and predictive modelling initiatives

& Work Exp. Havas CSA isseeking a Data Scientist with 2-4 years of experience to contribute to advancedanalytics and predictive modelling initiatives. The ideal candidate willcombine solid statistical knowledge with practical business understanding tohelp develop and implement models that drive customer value and businessgrowth.

Responsibilities

- Implement and maintain customer analytics models including CLTVprediction, propensity modelling, and churn prediction
- Support the development of customer segmentation models usingclustering techniques and behavioural analysis
- Assist in building and maintaining survival models to analyzecustomer lifecycle events
- Work with large-scale datasets using BigQuery and Snowflake
- Develop and validate machine learning models using Python andcloud-based ML platforms, specifically BQ ML, ModelGarden and AmazonBedrock
- Help transform model insights into actionable businessrecommendations
- Collaborate with analytics and activation teams to implement modeloutputs




- Present analyses to stakeholders in clear, actionable formats

Skills and Qualifications
- Bachelors or master s degree in Statistics, Mathematics, ComputerScience, or related quantitative field
- 2-4 years experience in applied data science, preferably inmarketing/retail
- Experience in developing and implementing machine learningmodels
- Strong understanding of statistical concepts and experimentaldesign
- Ability to communicate technical concepts to non-technicalaudiences
- Familiarity with agile development methodologies

Technical Skills:

Advancedproficiency in:

- SQL and data warehouses (BigQuery, Snowflake)
- Python for statistical modeling
- Machine learning frameworks (scikit-learn, TensorFlow)
- Statistical analysis and hypothesis testing
- Data visualization tools (Matplotlib, Seaborn)
- Version control systems (Git)
- Understanding of Google Cloud Function and Cloud Run

Contract Type : Permanent Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual s ability to perform their job.

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