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Senior Data Scientist - Job Opportunity at Artefact

Utrecht, Netherlands
Full-time
Senior
Posted: March 28, 2025
Hybrid
EUR 65,000 - 95,000 annually based on Utrecht market rates and role seniority

Benefits

Competitive base salary with comprehensive package
Hybrid work environment with remote allowance
Health and wellness benefits including Onefit membership and weekly massage sessions
Professional development and learning opportunities
Daily organic lunch buffet
Phone and travel reimbursements
Central office location near transit
Team events and collaborative culture

Key Responsibilities

Lead transformational data science projects with direct business impact
Develop innovative data science solutions and products
Drive marketing analytics and customer intelligence initiatives
Build and maintain strategic client relationships
Mentor junior team members and contribute to team development
Ensure quality deliverables and code optimization
Advance internal toolbox and knowledge base

Requirements

Education

Master's degree in computer science, machine learning, mathematics, or related subjects

Experience

2-3 years of experience in data science, analytics, or consulting

Required Skills

Python SQL R Data processing Machine learning algorithms Data architecture Marketing analytics Communication skills Problem-solving abilities
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Sauge AI Market Intelligence

Industry Trends

Increasing integration of AI and ML in marketing technology stacks for personalization and optimization Growing demand for MLOps expertise as organizations scale their AI initiatives Rising importance of ethical AI and responsible data practices in client engagements Shift towards real-time decision making and automated marketing optimization

Role Significance

Likely working within a team of 5-8 data scientists and engineers, with direct mentorship responsibilities for 2-3 junior team members
Senior position with significant technical leadership and client-facing responsibilities, indicating key role in project success and team development

Key Projects

Marketing attribution modeling and optimization Customer segmentation and personalization initiatives MLOps implementation and scaling Cross-channel marketing effectiveness analysis Predictive analytics for customer behavior

Success Factors

Strong balance of technical expertise and business acumen Ability to translate complex technical concepts for non-technical stakeholders Experience in marketing technology and customer analytics Leadership and mentoring capabilities Project management and client relationship skills

Market Demand

High demand with significant growth trajectory due to increasing AI adoption across industries and particular strength in marketing technology sector

Important Skills

Critical Skills

Advanced Python programming for production-grade implementations Marketing analytics expertise for client solutions Communication skills for client interaction and team leadership MLOps knowledge for scaling AI solutions

Beneficial Skills

Cloud platform expertise (AWS/GCP/Azure) Marketing technology stack knowledge Project management methodologies Business strategy understanding

Unique Aspects

Strong focus on marketing analytics and customer intelligence
Combination of consulting and technical implementation capabilities
Global reach with local market expertise
Emphasis on continuous learning and skill development

Career Growth

2-3 years in role before advancement opportunity, depending on project success and leadership development

Potential Next Roles

Lead Data Scientist AI Practice Lead Technical Director Head of Data Science

Company Overview

Artefact

Global data and AI consulting firm with strong focus on marketing and digital transformation

Growing player in data consulting space with significant presence across multiple regions and impressive client portfolio including major global brands
Strategic European location with access to major markets and technology talent pool
Progressive, learning-oriented environment with emphasis on innovation and professional development
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