Data Scientist

Job Title: Senior Data Scientist (Level C5)
Team: Marketing & Insights

Core Responsibilities:



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Deliver data-led recommendations to refine how we segment and target our customers
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Design and deploy forecasting models to anticipate customer behaviours and fine-tune campaign performance
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Use advanced analytics to guide long-term marketing planning
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Explore and evaluate alternative data sources and novel data strategies to deepen customer intelligence
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Support the growth of our analytics team by coaching analysts in key data science concepts
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Take on project-based tasks and analytical requests as needed



Ideal Background:



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A degree (Bachelor's or Master's) in a quantitative discipline-e.g., Statistics, Mathematics, Computer Science, Engineering, or Operations Research
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At least 5 years of experience in a data science role, with a solid track record in machine learning and predictive modelling



Technical Toolkit:



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Proficient in Python or R for statistical computing
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Skilled in BigQuery SQL for handling large data sets
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Advanced spreadsheet skills (Google Sheets or Excel)
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Basic familiarity with git work flows and CI/CD pipelines
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Comfortable working with algorithms across regression, classification, and clustering
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Exposure to scalable data platforms (e.g., Google Cloud Platform, Hadoop, Spark)
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Well-versed in statistical techniques and hypothesis testing
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Experience with dashboards and data storytelling using tools like Tableau or Looker Studio
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Strong mathematical foundation



What Sets You Apart:



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Able to translate technical findings into business language for diverse audiences
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Strong analytical instincts with a structured approach to solving vague or complex problems
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Capable of working autonomously as well as within cross-functional teams
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Naturally inquisitive with a constant drive to experiment and improve
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Flexible in adopting new methods or technologies to get the job done
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Business-minded with a sharp focus on quality, outcomes, innovation, and collaboration