Data Scientist

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About the Role:

We are looking for a skilled Data Scientist to lead our marketing analytics and customer journey modelling initiatives. This role will be pivotal in measuring the effectiveness of marketing campaigns, understanding user behaviour across touchpoints, and delivering insights to improve business outcomes.

You will collaborate closely with marketing, growth, and data engineering teams to develop data-driven frameworks, enhance channel performance, and support strategic decision-making.

Key Responsibilities:

• Develop and implement advanced analytical models to assess the effectiveness of various marketing channels and campaigns.
• Apply statistical, probabilistic, and machine learning methods to model user behaviour and conversion patterns.
• Work with large-scale marketing datasets, including impressions, clicks, conversions, and engagement metrics.
• Collaborate with marketing teams to optimize channel efficiency, campaign targeting, and user segmentation.
• Design and execute controlled experiments and A/B tests to validate model outputs and strategic initiatives.
• Automate data pipelines and model outputs to deliver real-time performance tracking and insights.
• Create intuitive dashboards, visualizations, and documentation to communicate insights and support business stakeholders.

Qualifications:

• 3-6 years of experience in data science, marketing analytics, or customer journey analysis.
• Proficiency in Python, SQL, and commonly used data science libraries (e.g., pandas, NumPy, scikit-learn).
• Strong understanding of statistical modelling techniques such as logistic regression, time series analysis, and survival models.
• Experience with machine learning approaches for classification, segmentation, and recommendation.
• Solid grasp of digital marketing ecosystems and user engagement metrics.
• Hands-on experience with experimentation design, A/B testing, and lift analysis.
• Excellent problem-solving and communication skills with a strong product and data-driven mindset.