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 [email removed]

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