Data Scientist Internship - Remote-Stelle

Metasys sucht Data Scientist Internship. Die Stelle liegt im Bereich Daten und Analytics und ist vollständig remote. Das Unternehmen schränkt den Wohnort der Kandidatin nicht ein, Sie können sich also von überall bewerben.

Die wichtigsten in der Anzeige genannten Werkzeuge sind: Python, SQL, Power BI, Tableau, Machine Learning. Der Lebenslauf sollte konkrete Beispiele genau dieser Fähigkeiten zeigen.

Das Unternehmen hat keine Zahl veröffentlicht, das klärt sich im Gespräch. Zu den Arbeitszeiten stellt die Anzeige keine Bedingung.

Diese Stelle hat eine automatische Prüfung durchlaufen: Anzeigen, die eine ausländische Arbeitserlaubnis, Visa-Sponsoring, eine bestimmte Staatsangehörigkeit oder den Wohnsitz in einem genannten Land verlangen, kommen nicht auf die Liste.

Role Overview We are seeking a curious and analytical Data Scientist Intern to support data-driven decision-making across business and technology teams. This internship offers hands-on experience working with real-world datasets, building analytical models, and translating data insights into actionable outcomes. This role is ideal for students or recent graduates looking to build a strong foundation in data science, analytics, and applied machine learning. Internship Details

* Duration: 3 months, with potential extension based on performance

* Work Mode: Remote

* Stipend: Unpaid initially; performance-based evaluation in the first quarter may lead to a paid internship extension or full-time opportunity

* Working Hours: 8 hours per day

Key Responsibilities

* Collect, clean, and preprocess structured and unstructured data

* Perform exploratory data analysis (EDA) to identify trends and patterns

* Assist in building and validating statistical and machine learning models

* Create data visualizations and dashboards to communicate insights

* Support data-driven decision-making through reports and presentations

* Collaborate with engineering, product, and business teams

* Document methodologies, findings, and outcomes

Required Skills & Qualifications

* Currently pursuing or recently completed a degree in:

* Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field

* Strong understanding of statistics and data analysis fundamentals

* Proficiency in Python

* Experience with libraries such as Pandas, NumPy, Matplotlib, Seaborn

* Basic knowledge of SQL

* Strong analytical and problem-solving skills

Preferred / Technical Skills

* Familiarity with machine learning algorithms and workflows

* Exposure to Scikit-learn, TensorFlow, or PyTorch

* Experience with data visualization tools (Tableau, Power BI, or similar)

* Knowledge of version control systems (Git)

* Understanding of data pipelines and ETL concepts

What You Will Gain

* Hands-on experience with real-world datasets and business problems

* Practical exposure to data science and analytics workflows

* Mentorship from experienced data scientists and engineers

* Experience collaborating with cross-functional teams

* Certificate of Internship Completion upon successful completion

* Opportunity for paid or full-time conversion based on performance

Originally posted on Himalayas