Senior Data Science Analyst

About this role

<div class="content-intro"><div data-rs-index="2" data-index="2"> <div> <div data-test-render-count="2"> <div class="mb-1 mt-[var(--msg-gap,1.5rem)] group group/message-row"> <div class="flex flex-col items-end gap-1"> <div class="group relative inline-flex gap-2 bg-bg-300 dark:[[data-darker-default]_&]:bg-bg-000 rounded-xl pl-2.5 py-[var(--msg-bubble-py,0.625rem)] break-words text-text-100 transition-all max-w-[75ch] flex-col !px-[var(--msg-bubble-px,1rem)] max-w-[85%]" data-user-message-bubble="true"> <div class="flex flex-row gap-2 relative"> <div class="flex-1"> <div class="font-large !font-user-message py-0.5 grid grid-cols-1 gap-2 relative [&_ul]:!space-y-0 [&_ol]:!space-y-0 [&_ul]:pl-8 [&_ol]:pl-8" data-testid="user-message"> </div> </div> </div> </div> <div class="flex justify-start opacity-0 group-hover:opacity-100 group-focus-within:opacity-100 pointer-coarse:opacity-100 transition-opacity duration-150" data-message-action-bar=""> </div> </div> </div> </div> </div> </div> <div data-rs-index="3" data-index="3" data-last-message="true"> <div> <div data-test-render-count="1"> <div class="group group/message-row"> <div class="group relative relative pb-[var(--msg-assistant-pb,0.75rem)]" data-is-streaming="false"> <div class="font-claude-response relative leading-[1.65rem] [&_pre>div]:bg-bg-000/50 [&_pre>div]:border-0.5 [&_pre>div]:border-border-400 [&_.ignore-pre-bg>div]:bg-transparent [&_.standard-markdown_:is(p,blockquote,h1,h2,h3,h4,h5,h6)]:pl-2 [&_.standard-markdown_:is(p,blockquote,ul,ol,h1,h2,h3,h4,h5,h6)]:pr-8 [&_.progressive-markdown_:is(p,blockquote,h1,h2,h3,h4,h5,h6)]:pl-2 [&_.progressive-markdown_:is(p,blockquote,ul,ol,h1,h2,h3,h4,h5,h6)]:pr-8"> <div class="standard-markdown grid-cols-1 grid [&_>_*]:min-w-0 gap-3 [&_>_*:last-child]:mb-0 print:block print:[&_>_*_+_*]:mt-3 standard-markdown"> <p class="font-claude-response-body break-words whitespace-normal">Brainlabs is the independent, founder-led agency building the future of media. We have over 1000 Brainlabbers based across the global, all united through the 12 principles laid out in our Culture Code. We're full-service, with people and AI agents working side by side, all aligned to one thing: maximizing our clients' revenue through a genuinely scientific approach to media. If you want to help play your part in achieving this for the world's biggest brands in an environment that will support and challenge you in equal measure, this is where you do it.</p> </div> </div> </div> </div> </div> </div> </div></div><p><strong>What You'll Do:</strong></p> <ol> <li>Own delivery of data science workstreams end-to-end, from scoping and modeling through to communicating results to internal stakeholders.</li> <li>Apply supervised and unsupervised ML techniques, NLP, and AI/ML frameworks to real marketing analytics problems, not just oversee others doing it.</li> <li>Manage and mentor a small team of data scientists, providing technical guidance, career development support, and day-to-day prioritization.</li> <li>Contribute to the NAMER Data Science capability roadmap by identifying gaps, piloting new methods, and translating findings into repeatable approaches the team can build on.</li> <li>Collaborate with analytics, engineering, and account leads to scope and structure projects, making sure the data science work connects clearly to business outcomes.</li> <li>Stay current on advances in LLMs, deep learning, and marketing measurement, and bring relevant developments into the team's toolkit.</li> </ol> <p><strong>Who You Are:</strong></p> <p><em>What We Really Want:</em></p> <ul> <li>Someone who's past the pure IC stage but still loves the craft. You're as comfortable writing Python as you are reviewing someone else's model architecture and giving them useful, direct feedback. You've delivered complex data science projects and you're ready to start building the people around you.</li> </ul> <p><em>What Particular Set of Skills Would Suit This Role:</em></p> <ul> <li>2-5 years in data science, with at least 2 years in marketing analytics or a related applied domain.</li> <li>Degree in Mathematics, Statistics, Computer Science, or a related quantitative field.</li> <li>Strong Python skills and hands-on experience with ML frameworks (scikit-learn, TensorFlow, PyTorch, or similar).</li> <li>Solid grounding in modeling fundamentals: regression, classification, clustering, time-series, and experimental design.</li> <li>Familiarity with LLMs and NLP tooling, with some practical experience applying them to real problems.</li> <li>Experience working with cloud environments (AWS, GCP, or Azure) and basic data engineering pipelines.</li> <li>A track record of explaining technical work clearly to non-technical colleagues.</li> <li>Some experience managing or mentoring others, formally or informally.</li> <li>Design and deliver media measurement solutions including Marketing Mix Modeling and incrementality testing.</li> </ul> <p><strong>How You…