Senior Data Scientist

<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]"><strong>About the Job</strong></p> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]"><em>Do you get excited when a messy, ambiguous business problem finally yields to the right model? Do you think in systems, speak fluently across the technical-business divide, and want your work to do more than sit in a notebook — you want it to actually ship, scale, and matter?</em></p> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]"><em>With over 2,000 employees, 36 offices on five continents, and world-class clients like Samsung, L'Oréal, and Mattel, Artefact is a consulting firm that transforms data into measurable value and business impact. We've launched in the US with offices in NYC and Los Angeles — and we're looking for a Senior Data Scientist to help define what world-class data science looks like on our founding team.</em></p> <hr class="border-border-200 border-t-0.5 my-3 mx-1.5"> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]"><strong>Who We Are</strong></p> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]"><em>Founded and headquartered in Paris, Artefact is a next-generation consulting firm specializing in data, analytics, and AI consulting — dedicated to transforming data into business impact across the entire value chain of organizations. We don't just advise; we build, implement, and deliver results our clients can measure.</em></p> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]"><em>We have 2,000 employees across 36 offices focused on accelerating digital transformation for some of the world's most recognizable brands. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of elite business consultants, data analysts, data scientists, data engineers, and digital experts are all laser-focused on delivering real value to every client. We design data-driven solutions tailored to each client's specific needs — always conceived with a business-first mindset and delivered with tangible, measurable results. Our expertise is built on deep AI knowledge acquired through 1,000+ client engagements across the globe.</em></p> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">Find out more at artefact.com.<br><br></p> <p><strong>What You Will Be Doing</strong></p> <p><em>As a Senior Data Scientist, you'll be the technical engine behind some of our most complex and consequential client engagements. You'll move fluidly between data exploration, model development, and executive communication — bringing scientific rigor to business problems and translating results into strategies that clients actually implement.</em></p> <p><em>This isn't a role where you hand off findings and walk away. You'll be embedded with clients, co-owning outcomes, and ensuring that the models you build don't just perform in a test environment — they create real, lasting impact in production. You'll also be a technical anchor for our US team, setting standards, mentoring junior data scientists, and contributing to the methodologies that define Artefact's edge.</em></p> <p><strong>Key responsibilities include:</strong></p> <ul> <li>Designing and building end-to-end machine learning and statistical models that solve high-stakes business problems — from framing the question to deploying the solution</li> <li>Conducting rigorous exploratory data analysis to uncover patterns, anomalies, and opportunities that inform both technical and strategic decisions</li> <li>Translating complex model outputs and analytical findings into clear, compelling narratives for senior client stakeholders — making the technical accessible without dumbing it down</li> <li>Partnering with client teams and data engineers to ensure models are production-ready, scalable, and built on clean, reliable data pipelines</li> <li>Defining the analytical approach for client engagements — selecting the right methods, tools, and frameworks for the problem at hand, not just the ones you're most comfortable with</li> <li>Contributing to new business proposals — helping articulate Artefact's technical capabilities and translating data science into clear client value</li> <li>Developing thought leadership and internal methodologies — publishing research, building reusable frameworks, and raising the technical bar across the practice</li> <li>Mentoring junior data scientists and analysts, actively investing in the team's technical depth and growth</li> </ul> <p><strong>What We Are Looking For</strong></p> <p><em>We want someone who is as comfortable whiteboarding a modeling strategy with a client's Chief Analytics Officer as they are debugging a pipeline at 11pm before a big delivery. You've shipped models that people actually use. You've sat in rooms where the business stakes were real, and you've delivered. You know the difference between a technically elegant solution and a practically useful one — and you always choose useful.</em></p> <p>You'll arrive ready with the following:</p> <ul> <li>4–7 years of hands-on experience in data science, machine learning, or advanced analytics — with a demonstrable track record of end-to-end model delivery in a client-facing or high-stakes business environment</li> <li>Advanced degree (MSc or PhD) in a quantitative field — statistics, mathematics, computer science, engineering, or equivalent; strong undergraduate candidates with exceptional experience will be considered</li> <li>Expert-level proficiency in Python and/or R; you write clean, maintainable, production-quality code</li> <li>Deep expertise in machine learning and statistical modeling — regression, classification, clustering, time series, NLP, recommendation systems, and/or deep learning, depending on your specialization</li> <li>Strong command of SQL and experience working with large-scale datasets across cloud platforms (GCP, AWS, or Azure)</li> <li>Experience with MLOps practices — model versioning, monitoring, deployment pipelines, and productionization — is a significant differentiator</li> <li>Exceptional communication skills — you can explain a gradient boosting model to a CFO and a business case to an ML engineer, and both conversations land</li> <li>Demonstrated ability to lead technical workstreams and mentor junior team members</li> <li>Consulting or client-facing experience is highly desirable; the ability to manage ambiguity, scope problems, and deliver under pressure is essential</li> <li>Exposure to marketing analytics, customer analytics, or demand forecasting in a consumer-facing industry is a meaningful asset</li> </ul> <p><strong>Why You Should Join Us</strong></p> <p>At this level, you're not just looking for a job — you're looking for the right environment to do your best work. Here's what makes Artefact different:</p> <p>Variety that keeps you sharp. In a product role, you go deep on one problem. Here, you'll work across industries, business functions, and problem types — building the kind of range that makes exceptional data scientists exceptional. No two engagements are the same.</p> <p>Your work actually ships. We have a relentless focus on adoption and impact. The models you build are designed from day one to live in production, influence decisions, and create measurable value — not to gather dust in a final report.</p> <p>A global technical community. With 2,000 data and AI specialists across 36 offices, you'll have access to some of the most sophisticated data science thinking in the world. You'll contribute to — and benefit from — a community of practitioners working on the frontier.</p> <p>Founding team energy. We're building our US practice, which means the norms, standards, and culture you help create now will define Artefact in North America for years to come. That's a rare opportunity at any stage of a career.</p> <p><em>We are united by our values and strengthened by our hybrid expertise:</em></p> <ul> <li><strong>There is always a way </strong>— We're builders, diggers, and makers. Ideas only count if they get executed.</li> <li><strong>Client trust is won in the field</strong> — We show up where it matters, working side by side with our clients to solve what's real.</li> <li><strong>If not used, it is useless</strong> — We build for adoption and impact. True brilliance is measured by what changes, not what's delivered.</li> <li><strong>If not shared, our work is not done</strong> — Sharing knowledge is how we close the loop — for our clients and for each other.</li> <li><strong>We learn every day</strong> — In a field moving at the speed of light, intellectual curiosity isn't optional. It's survival.</li> </ul> <p class="font-claude-response-body break-words whitespace-normal leading-[1.7]"><br><br></p> <p>&nbsp;</p>