Artefact
Senior Data Scientist
135 W 26th Street, New York, NY 10001 · Senior · Full-time
Sponsorship not specifiedDetected 28 days ago
PythonSQLAWSGCPAzureCloud PlatformsMachine LearningDeep LearningData AnalysisData EngineeringData ScienceNLPMLOpsStatisticsAgileMarketing AnalyticsForecastingExcelResearchLeadershipCommunicationMentoringMicrosoft OfficeDemand Planning
About the role
- About the Job 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.
Responsibilities
- You'll work directly with clients to understand their challenges, dig into their data, uncover insights that change how they operate, and communicate those findings in ways that drive action.
- Partnering with clients to deeply understand their business objectives and co-developing data-driven strategies to meet them
- Staying sharp: actively investing in your own professional development as the data and AI landscape evolves rapidly
- We want builders, thinkers, and fast learners - people who are energized by ambiguity, motivated by impact, and who can hold their own in a room with a senior client.
Requirements
- Advanced degree (MSc or PhD) in a quantitative field - statistics, mathematics, computer science, engineering, or equivalent
- Expert-level proficiency in Python and/or R
- Experience with MLOps practices - model versioning, monitoring, deployment pipelines, and productionization - is a significant differentiator
- 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
- An undergraduate degree with strong academic performance
- 1-2 years of full-time experience in consulting, data/analytics, marketing, finance, or tech
- Outstanding verbal and written communication skills - you can represent Artefact confidently in front of clients
- Advanced proficiency in Excel and PowerPoint
Skills
- Partnering with client teams and data engineers to ensure models are production-ready, scalable, and built on clean, reliable data pipelines
- Mentoring junior data scientists and analysts, actively investing in the team's technical depth and growth
Company info
- 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.
- 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
- 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
- There is always a way - We're builders, diggers, and makers. Ideas only count if they get executed.
- Client trust is won in the field - We show up where it matters, working side by side with our clients to solve what's real.
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