Data Scientist (Marketing Analytics)

TL;DR

Data Scientist (Marketing Analytics): Driving marketing strategy through advanced data analysis, attribution modeling, and conversion optimization with an accent on ROI measurement and funnel performance. Focus on designing experiments, collaborating with data engineering to build robust data models, and proactively surfacing actionable insights to influence business decisions.

Location: Must be based in London or willing to relocate. This is a hybrid role with mandatory in-office attendance on Mondays, Tuesdays, and Thursdays.

Company

hirify.global is a leader in AI code verification and governance, providing tools that ensure the reliability, security, and maintainability of AI-generated software for global enterprises.

What you will do

• Own marketing attribution, ROI, and conversion analysis to drive strategic decision-making.
• Optimize marketing spend by correlating outcomes across channels and campaigns.
• Design and analyze A/B tests and experiments using sound statistical methods.
• Partner with Data and Analytics Engineers to define requirements and shape data models.
• Proactively explore data to identify trends, anomalies, and growth opportunities.
• Communicate complex insights clearly to non-technical stakeholders to facilitate action.

Requirements

• Must be based in London or willing to relocate.
• Strong analytical track record with measurable business impact.
• Proficiency in Python for analysis, modeling, and automation.
• Solid SQL skills for independent data exploration and querying.
• Deep understanding of marketing and GTM data, including attribution and funnel metrics.
• Experience with statistical methods such as significance testing, regression, and forecasting.

Nice to have

• Experience with dbt or hands-on data modeling.
• Habit of using AI tools to accelerate coding and analytical workflows.

Culture & Benefits

• Collaborative in-office culture with structured anchor days for team rhythm.
• Opportunity to work at the forefront of the AI software revolution.
• Commitment to diversity, equity, and inclusion as a global organization.
• Fast-paced, profitable environment with significant impact potential.