Data Scientist

data scientist / statistician / modeller with a background in statistical modelling and machine learning. You'll work closely with a senior modeller on regression models, econometric-style modelling, brand-health metrics, and the connections between marketing signals and sales. This role directly contributes to the creation of the Minimum Viable Product, helping build the mathematical foundations of the brand-measurement engine., * Build and support regression models, mathematical models, and brand-health measurement metrics under the guidance of a senior modeller.

• Work with marketing-relateddatasets including:

• paid social and paid media metrics
• sentiment and brand resonance
• purchase intent signals
• weekly/monthly sales data
• distribution, pricing, promotion data

• Assist in connecting brand metrics to commercial sales outcomes.
• Work with AWS-hosted data environments (S3, Aurora) alongside engineers.
• Develop models that emulate marketing/econometric approaches in a more accessible and scalable way.
• Contribute to building the MVP alongside data engineers, AI specialists, and product leadership.
• Operate pragmatically in a small, high-velocity startup.

• Degree in Statistics, Mathematics, Data Science, or similar.
• 2-3+ years of experience building statistical or ML models (ideal for someone entering contracting).
• Strong skills in:

• Regression modelling
• Mathematical modelling
• Machine Learning fundamentals
• Bayesian modelling

• Proficiency in Python and/or R.
• Understanding of marketing or brand metrics is highly beneficial.
• Experience with econometric-style models (e.g., MMM) is a plus, not mandatory.
• Comfort working with APIs and third-party marketing data sources.

Nice to Have

• Exposure to marketing measurement, econometrics, or brand-tracking datasets.
• Worked with platforms like Brandwatch or similar sentiment/marketing data providers.
• Experience in early-stage product builds.