Senior Data Scientist

About the role

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? 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. 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. 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. Find out more at artefact.com.

Responsibilities

• Key responsibilities include:
• 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
• Conducting rigorous exploratory data analysis to uncover patterns, anomalies, and opportunities that inform both technical and strategic decisions
• Translating complex model outputs and analytical findings into clear, compelling narratives for senior client stakeholders - making the technical accessible without dumbing it down
• Partnering with client teams and data engineers to ensure models are production-ready, scalable, and built on clean, reliable data pipelines
• 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
• Contributing to new business proposals - helping articulate Artefact's technical capabilities and translating data science into clear client value
• Developing thought leadership and internal methodologies - publishing research, building reusable frameworks, and raising the technical bar across the practice
• Mentoring junior data scientists and analysts, actively investing in the team's technical depth and growth

Requirements

• You'll arrive ready with the following:
• 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
• 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
• Expert-level proficiency in Python and/or R; you write clean, maintainable, production-quality code
• Deep expertise in machine learning and statistical modeling - regression, classification, clustering, time series, NLP, recommendation systems, and/or deep learning, depending on your specialization
• Stron

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