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Remote AI Data Scientist
Veröffentlicht am
- Arbeitsort
- Mossel Bay, Deutschland
- Gehaltsschätzung
- 65.000–90.000 € brutto/Jahr · KI-Schätzung von Salary Quick anhand von Jobtitel und Ort (Stand 2026-09-28). Arbeitszeit und individuelle Konditionen können den Betrag verändern. Keine Gehaltszusage.
Stellenbeschreibung
Our client is seeking a skilled and motivated Remote AI Data Scientist to join their innovative team. You will leverage your expertise in data analysis, machine learning, and statistical modeling to extract insights and build predictive models that drive business decisions. This fully remote position allows you to work from anywhere, collaborating with cross-functional teams to solve complex problems using data. You will play a vital role in uncovering patterns, developing algorithms, and communicating findings that lead to tangible improvements in products and services, contributing directly to our company's data-driven strategy.
Key Responsibilities
- Analyze large datasets to identify trends, patterns, and insights relevant to business objectives.
- Develop, train, and evaluate machine learning models using statistical techniques.
- Design and implement experiments to test hypotheses and measure impact.
- Create compelling data visualizations and reports to communicate findings to stakeholders.
- Collaborate with engineering teams to deploy models into production environments.
Requirements
- Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related field.
- 2+ years of experience in data science or machine learning roles.
- Proficiency in Python or R and relevant data science libraries (e.g., pandas, NumPy, scikit-learn).
- Experience with SQL and working with relational databases.
- Strong understanding of statistical modeling, experimental design, and machine learning algorithms.
Benefits
- Competitive compensation package with remote work flexibility.
- Comprehensive medical, dental, and vision insurance.
- Opportunities for continuous professional development and training.
- Contribution to cutting-edge AI projects with significant impact.
- Supportive virtual work environment and team collaboration tools.