Business & Marketing Data Scientist

Location: Hybrid (In-office Tue-Thu; Remote Mon & Fri)

Duration: ASAP - December 4, 2026

Hours: Standard Business Hours | Language: English

Are you a data storyteller who bridges the gap between complex analytics and strategic business decisions? We are seeking an experienced Business & Marketing Data Scientist to translate organizational challenges into scalable, high-impact analytical solutions.

In this role, you will act as a subject matter expert-developing statistical models, optimizing data pipelines, establishing evaluation metrics, and delivering actionable insights that directly influence product retention, churn, and overall growth.

• Insight & Modeling: Formulate and interpret complex datasets using Python, R, and SQL to drive actionable recommendations and define key business metrics (OKRs).

• Scalable Solutions: Write production-quality code, automate workflows, and build intuitive dashboards to track solution impact.

• Cross-Functional Collaboration: Partner closely with Product, Engineering, and Business Development teams to translate high-level questions into tractable analyses.

• Technical Mentorship: Lead methodology design, validate assumptions in peer analyses, and document best practices, sample code, and tutorials.

• Data Stewardship: Gather, clean, and validate data across varied sources while adhering to strict privacy, confidentiality, and security standards.

• Experience: 5+ years of relevant data science experience, with strong proficiency in Python.

• Core Competencies: Deep understanding of statistical concepts, data intuition, and problem framing.

• Visualization: Demonstrated experience building data dashboards and automated reporting tools.

• Leadership & Communication: Exceptional active listening and stakeholder management skills to translate data into business narratives.

Ready to transform data into business excellence? Apply today! or share your CV to

Randstad Technologies is acting as an Employment Business in relation to this vacancy.