Company Description

Merkle, a dentsu company, powers the experience economy. For more than 35 years, the company has put people at the heart of its approach to digital business transformation. As the only integrated experience consultancy in the world with a heritage in data science and business performance, Merkle delivers holistic, end-to-end experiences that drive growth, engagement, and loyalty. Merkle's expertise has earned recognition as a "Leader" by top industry analyst firms, in categories such as digital transformation and commerce, experience design, engineering and technology integration, digital marketing, data science, CRM and loyalty, and customer data management. With more than 16,000 employees, Merkle operates in 30+ countries throughout the Americas, EMEA, and APAC. In Amsterdam and Rotterdam, more than 150 Merkle employees work with customers such as ASML, Albert Heijn, HEMA, Carglass and Signify. Merkle Netherlands is a strategic partner of Google, Adobe, Salesforce and Selligent, among others. For more information, visit www.merkle.com.

Job Description

We’re looking for a talented Data Scientist to join our dynamic team and help drive value for our clients. You’ll work with data from various digital channels (online, email, commerce), analyzing and modeling this data to optimize customer experiences and enhance digital performance. You’re passionate about turning data into actionable insights that make personalization work! Your turn (1st party) data into actionable insights that enhance relevance, increase engagement and reduce churn.

Your expertise in data science and statistics allows you to uncover trends and create strategies that directly impact client success. In this role, you’ll design and build predictive models, develop algorithms, and implement end-to-end solutions for our clients. You’re always on top of the latest technologies, like AI, and you love experimenting with new ways to elevate your work.

As part of a small, supportive team, you’ll collaborate on various tasks and occasionally assist with dashboard building. While you bring valuable experience, we support your continuous growth and development in the ever-evolving fields of data science and digital marketing.

Key Responsibilities:

• Analyze large datasets to generate actionable insights and optimize digital channels;
• Develop predictive models and machine learning algorithms;
• Present insights and recommendations to clients and stakeholders;
• Design and improve data collection processes;
• Stay updated on the latest data science and digital marketing trends.

Qualifications:

• Master’s degree in Data Science, Statistics, Computer Science, or equivalent experience;
• Experience as a Data Scientist, preferably with digital channels (online, email, commerce);
• Proficiency of the Dutch language and living in the Netherlands;
• Proficient in Python, R, SQL, and machine learning frameworks;
• Strong analytical, problem-solving, and communication skills.

What would make you really stand-out:

• Hands-on experience with AI and digital marketing tools;
• Experience in Azure ecosystem.

What We Offer:

• An international work environment with colleagues from across the globe;
• A challenging role in a fast-growing market;
• Plenty of fun at work: table football, table tennis, team events, parties, and more;
• 3 extra Well-being Days, on top of 25 annual vacation days;
• 2 Social Impact Days for volunteering;
• Extensive learning and development opportunities, both in-person and online;
• A hybrid work model: 2-3 days in the office, the rest from home;
• Competitive salary and great benefits.

Where will you work?

At our office you’ll find a group of professionals with different backgrounds and specializations. Pro’s that love to look further than their own niche and are keen to make the impossible possible. If you’d ask us we also think the parties, room for initiative and good vibes are what makes Merkle great. We don’t like shady stuff, but we do like a good atmosphere.

We encourage all qualified candidates to apply, even if you feel you do not meet every single requirement. We are committed to building a diverse and inclusive team and encourage applications from women and underrepresented groups.

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