Senior Data Scientist – MMM Expert
Quick Summary
Leading transformational projects: spearheading ambitious projects that utilize data to transform our clients’ operations and strategies.
Artefact is a next-generation consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in AI applications to help clients achieve tangible business impact. Our Belgium office advises clients on their most pressing strategic challenges : from AI strategy and governance to digital transformation roadmaps and new business model design. Our inclusive and forward-thinking culture encourages creativity, collaboration, and professional growth.
Responsibilities
~1 min readAs 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.
Responsibilities
~1 min read- →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.
We’re seeking someone who has:
- 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.
What We Offer
~1 min readLocation & Eligibility
Listing Details
- First seen
- March 26, 2026
- Last seen
- May 5, 2026
Posting Health
- Days active
- 39
- Repost count
- 0
- Trust Level
- 23%
- Scored at
- May 5, 2026
Signal breakdown
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