Switzerland
Full-time
About the Role
We are seeking a skilled
Data Scientist / Data Analyst
to join our team in Switzerland. You will work with large datasets to extract actionable insights, develop predictive models, and support data-driven decision-making across business functions. This role is ideal for someone with strong analytical skills, a passion for data, and the ability to communicate insights clearly to stakeholders.
Key Responsibilities
* Collect, clean, and analyze structured and unstructured datasets.
* Develop statistical models, machine learning algorithms, and predictive analytics solutions.
* Create dashboards, reports, and visualizations to monitor KPIs and inform business decisions.
* Collaborate with cross-functional teams to translate data insights into actionable recommendations.
* Conduct exploratory data analysis to identify trends, patterns, and anomalies.
* Ensure data quality, accuracy, and integrity in all analyses.
* Keep up to date with best practices, tools, and techniques in data analytics and data science.
Qualifications
* Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
* 1–5 years of experience in data analysis, data science, or business intelligence.
* Proficiency in SQL, Python, R, or other data analysis tools.
* Experience with data visualization tools such as Tableau, Power BI, or similar.
* Knowledge of machine learning techniques and statistical modeling is an advantage.
* Strong analytical, problem-solving, and critical thinking skills.
* Excellent communication skills to explain technical insights to non-technical stakeholders.
* Ability to manage multiple projects and meet deadlines in a fast-paced environment.
What We Offer
* Exposure to high-impact, data-driven projects in a global environment.
* Career growth through mentorship, training, and professional development.
* Competitive compensation and benefits package in Switzerland.
* Collaborative and innovative work culture.
* Opportunities to work with modern data tools and technologies.