We’re Hiring: Data Scientist / Data Analyst (Remote – Switzerland Based)
Location: Remote (within Switzerland)
Type: Full-time / Part-time / Contract
Level: Entry to Mid-Level
About Us
We’re a data-driven company helping clients turn information into actionable insights. From predictive analytics to dashboards and machine learning pipelines, our projects span multiple sectors. If you’re passionate about numbers, impact, and clean data — we want to hear from you.
Role Overview
We’re looking for a curious and detail-oriented Data Scientist / Data Analyst to help us uncover insights, build models, and improve business performance through data. You’ll work with raw data, clean it, analyze it, and communicate results that guide strategic decisions.
Key Responsibilities
* Collect, clean, and transform data from multiple sources (databases, APIs, CSVs)
* Conduct exploratory data analysis and build dashboards (Power BI, Tableau, or similar)
* Perform statistical analysis, data visualization, and reporting for stakeholders
* Build predictive models or ML pipelines (if Data Scientist role)
* Present findings clearly to technical and non-technical audiences
* Collaborate with engineering, product, and business teams
Requirements
* Degree in Data Science, Statistics, Computer Science, Mathematics, or related field
* 2+ years of experience in data analysis or applied data science
* Proficient in Python, SQL, and data libraries (e.g., pandas, NumPy, scikit-learn)
* Experience with BI tools (e.g., Power BI, Tableau, or Looker)
* Strong analytical mindset and attention to detail
* Fluent in English; based in Switzerland
Nice to Have
* Experience with machine learning, NLP, or time-series forecasting
* Familiarity with cloud platforms (AWS, GCP, or Azure)
* Knowledge of data engineering workflows or dbt / Airflow / BigQuery
* Understanding of GDPR and data privacy in a European context
What We Offer
* Opportunity to work on real-world, cross-industry data challenges
* Friendly and agile team culture
* Training budget and mentorship in ML or data engineering
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