> Markdown version of [/jobs/ext/3544803-senior-data-scientist-mmm-expert](https://www.wearedevelopers.com/jobs/ext/3544803-senior-data-scientist-mmm-expert). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - MMM Expert - **Company:** Artefact - **Location:** Brussels, WI, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, Data Architecture, R (Programming Language), Python (Programming Language), Machine Learning, Natural Language Processing, Software Engineering, SQL Databases, Data Processing, Information Technology, Machine Learning Operations - **Published:** September 30, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/po3detjnd7 ## About the Role * Educational background: a completed Master's degree in a relevant field (e.g., computer science, machine learning, mathematics, or related subjects). * Hands-On experience: at least 2-3 years of experience in data science, analytics, or consulting, preferably within a marketing or digital context. * Marketing or digital context experience: knowledge of various marketing channels and platforms, including their roles within the media mix is considered a plus. * Technical skills: strong knowledge of data processing, algorithms, and data architecture, along with proficiency in tools like Python, SQL, and R. * Analytical mindset: a passion for working with data to derive actionable insights and solve complex problems. * Communication skills: excellent verbal and written communication skills, with the ability to discuss both technical and non-technical topics with clients and team members. * Curiosity and passion: a genuine interest in continuous learning and exploring new technologies and tools in data and AI. ## Description As a Senior Data Scientist specializing in the marketing domain, you will lead and conduct ambitious projects aimed at transforming clients through data. Your day-to-day responsibilities will include: * Leading transformational projects: spearheading ambitious projects that utilize data to transform our clients' operations and strategies. * Developing data science solutions: creating innovative data science products and solutions for both clients and our internal data science team. * Applying data science in marketing contexts: leveraging data science methodologies to enhance marketing analytics, customer segmentation, attribution modeling, and campaign optimization. * Building client relationships: collaborating closely with your Consulting counterpart to understand client needs and strengthen relationships. * Upskilling the team: contributing to the development of our data science team by sharing knowledge, mentoring junior Data Scientists, and promoting our work within other data departments. * Ensuring quality deliverables: caring for team morale and ensuring that all missions are delivered to a high standard, providing feedback and support to less experienced team members. * Optimising code: writing highly optimized code to advance Artefact's internal toolbox and knowledge base. What You Will Learn With Us * Real-World impact: deliver impactful projects by developing end-to-end machine learning pipelines to solve real-world problems across various industries, including marketing and customer intelligence. * Collaborative solutions: work in feature teams alongside other data scientists, ML engineers, data engineers, software engineers, and product owners to build complex solutions. * Software engineering improvement: enhance your software engineering skills by applying ML Ops best practices while working with machine learning teams. * Expertise development: become an expert in one of our data science practices: Time Series Forecasting, MLOps, NLP, Computer Vision, Optimization, or Customer Intelligence, including marketing analytics, attribution modeling, and incrementality testing. * Algorithm discovery: discover state-of-the-art algorithms and test them on real-world data during client projects.