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Data scientist / data analyst

Bern
Qovo
Data Scientist
EUR 30’000 - EUR 80’000 pro Jahr
Inserat online seit: 13 Juni
Beschreibung

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
E-Commerce Developer / Front End / IT (70-100%) Machine Learning Engineer (OSS) in a fast-growing AI Startup Quality Assurance Engineer (all genders) DeFi Data and Vault Operations Associate
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