Marketing Scientist

Marketing Analyst at Day1data

• Location: London (Hybrid - Paddington Office)
• Employment type: full time
• Seniority: flexible

About Day1Data:

Day1Data is a fast-growing B2B data analytics startup helping marketing and finance teams measure incrementality & make smarter marketing decisions. From marketing mix modelling to forecasting and data infrastructure, we help companies know what drives true growth. We work with leading global brands and are scaling rapidly - this is a great time to join a small, high-impact team.

Role overview:

We are seeking a Marketing Scientist to join our team. This role will focus on experimentation, econometric modelling and the creation of actionable marketing insights. You will play a pivotal role in analysing customer acquisition and retention performance, designing measurement frameworks and building predictive models that influence commercial and strategic decisions.

Experimentation & Causal Inference:

• Design, execute, and analyse experiments including geo-testing, A/B and multivariate testing.
• Use causal inference methods (e.g. synthetic control, difference-in-differences) to measure the incremental impact of marketing initiatives.

Marketing Mix Modelling (MMM) & Econometrics:

• Develop and maintain econometric models to evaluate marketing effectiveness and optimise investment allocation.
• Leverage multiple modelling techniques: Bayesian / Frequentist
• Contribute to long-term planning through investment forecasting and budget optimisation.

Acquisition & Retention Analytics:

• Analyse performance across acquisition channels and customer cohorts, identifying key drivers of customer behaviour and retention.
• Track and optimise KPIs such as CAC, LTV, churn, and conversion across the lifecycle.

Predictive Modelling & Segmentation:

• Build and deploy models for churn prediction, CLTV forecasting, and customer segmentation.
• Use model outputs to inform lookalike targeting, personalisation strategies, and performance marketing.

Attribution & Measurement:

• Develop multi-touch attribution models to assess marketing effectiveness across channels.
• Model expected outcomes of marketing initiatives and quantify their commercial impact.

Stakeholder Collaboration:

• Partner with marketing, finance, data science, and product teams to align on business objectives and translate analytical insights into action.
• Present findings in a clear, compelling way to both technical and non-technical stakeholders.

What you’ll need:

• Proven experience (2–4 years) in an analytics or data science role.
• Strong command of experimentation design and analysis (especially geo-based and incrementality testing).
• Experience in building MMM or econometric models.
• Proficiency in SQL and Python.
• Experience with attribution modelling and measurement frameworks.
• Familiarity with causal inference techniques (e.g., Bayesian structural time series, CausalImpact, etc.).
• Exposure to cloud-based analytics environments (e.g., BigQuery, Snowflake).

What we offer:

• Competitive salary
• Equity
• Growth opportunities - A chance to build your career at a fast-paced data business, working on AI projects
• Ownership and autonomy - Real ownership and an opportunity to make a significant impact on our journey
• Collaborative culture - A fast-paced, energetic environment where big ideas are encouraged