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  "employer_name": "Broadlab",
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  "job_description": "About the Role\n\nBroadlab is hiring a Senior Applied Data Scientist – Measurement & Insights to lead how we interpret and communicate campaign performance across our outcome-based CTV platform.\n\nThis is a high-impact, senior role focused on turning complex measurement data into clear, commercially actionable insight. You’ll work at the intersection of data science, client strategy, and campaign optimisation; owning advanced analysis and elevating how we understand and explain performance.\n\nYou’ll also help embed best-in-class measurement thinking across the business and leverage AI-enabled analytical workflows to accelerate insight generation.\n\nWhat You’ll Do\n\nMeasurement & Incrementality Leadership\n• Lead analysis and selection of key measurement solutions\n• Lead & develop advanced analyses (incrementality, lift studies, geo experiments, causal inference)\n• Apply methods such as Difference-in-Differences and propensity score matching\n• Interpret brand uplift, conversion, and ID graph data\n• Identify true drivers of performance beyond standard attribution\n\nInsight & Storytelling\n• Translate statistical outputs into clear, executive-ready insights\n• Lead post-campaign analysis and client-facing narratives\n• Elevate the quality and relevance of campaign reporting\n\nBuild Scalable Insight Frameworks\n• Develop repeatable analysis frameworks and playbooks\n• Standardise insight delivery across campaigns\n• Partner with Product/Engineering to embed insights into tools\n\nRaise the Bar Internally\n• Mentor and train Optimisation teams on:\n• Statistical thinking\n• Experimental design\n• Measurement interpretation\n• Improve statistical literacy across commercial teams\n\nAdvanced Modelling\n• Build models to explain:\n• Geo-level performance variation\n• Audience and creative effects\n• Frequency and saturation dynamics\n• Work with large-scale impression-level and enriched datasets\n\nAI-Driven Workflows\n• Use tools like ChatGPT, Claude, Copilot to accelerate analysis and insight generation\n• Explore automation and AI-assisted measurement workflows\n\nWhat We’re Looking For\n\nCore Experience\n• 5–8+ years in applied data science\n• Strong grounding in causal inference & experimentation\n• Experience with media, campaign measurement, or advertising data\n• Advanced Python & SQL\n• Experience with large-scale event/log-level datasets\n• Ability to translate complex analysis into business insight\n• Comfortable using AI tools in modern data workflows\n\nNice to Have\n• CTV / programmatic / performance marketing experience\n• Incrementality testing & geo experiments\n• ID graphs / enriched consumer datasets\n• Cloud environments (AWS, Snowflake)\n• Mentoring or team development experience\n\nWhat Success Looks Like\n• Campaign insights are deeper, more rigorous, and more commercially impactful\n• Clients recognise our measurement capability as a key differentiator\n• Optimisation teams become more analytically confident\n• Repeatable frameworks scale across campaigns\n\nWhy Join Broadlab?\n\nOur edge comes from connecting advanced measurement to real business outcomes. This role is central to that mission by ensuring our data isn’t just analysed, but understood, trusted, and acted upon.",
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  "job_posted_at_datetime_utc": "2026-03-23T00:00:00.000Z"
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