Data Scientist Intern

Qabird; Den Haag; On-site; EUR 16,531 - 27,552; Part time

Job summary

Qabird is seeking an enthusiastic Data Scientist Intern for our Yes!Delft office in The Hague. This role involves defining processes, recommending solutions, and performing data analysis.

The ideal candidate is currently pursuing a Master's degree and has a solid understanding of machine learning. The position begins with part-time hours, approximately 8 hours per week, with compensation based on experience.

Qualifications

• Experience with common data science toolkits such as R, Weka, NumPy, Matlab.
• Proficiency in using query languages such as SQL, Hive, Pig.
• Good applied statistics skills (distributions, testing, regression).

Responsibilities

• Define existing or new processes and recommend solutions.
• Liaise between users’ needs and the Strategic Improvement Department.
• Select features and optimize classifiers using machine-learning.

Skills

Machine learning techniques

Communication skills

Data visualization tools

Data-oriented personality

Programming skills

Statistical skills

Education

BSc Computer Science or Technical Medicine

Currently studying MSc

Tools

R

NumPy

SQL

MongoDB

Job description

Corsano Health is looking for an enthusiastic and dynamic Data Scientist Intern for our Yes!Delft office in The Hague. Reporting to the Chief Medical Officer, the Data Scientist works with users to define existing or new processes as well as to recommend solutions and improvements. The candidate needs to have strong project management skills and the ability to work independently, creatively and analytically in a problem‑solving environment. The position can start as a part‑time commitment. Initially expected working hours are 8 hours per week. Pay will be commensurate with attitude, experience and hustle.

Responsibilities

• Work with users to define existing or new processes and recommend solutions and improvements.
• Serve as a liaison between users’ needs and the Strategic Improvement Department.
• Develop test plans and verify plans to accurately validate business requirements.
• Develop project work plans.
• Document workflow processes.
• Conduct analysis of alternatives, recommendations, and data mapping.
• Select features, build and optimize classifiers using machine‑learning techniques.
• Data mining using state‑of‑the‑art methods.
• Extend company’s data with third‑party sources of information when needed.
• Enhance data collection procedures to include relevant information for building analytic systems.
• Process, cleanse, and verify the integrity of data used for analysis.
• Do ad‑hoc analysis and present results in a clear manner.
• Create automated anomaly detection systems and constantly track their performance.

Qualifications

• BSc Computer Science or Technical Medicine TU Delft, currently studying MSc.
• Excellent understanding of machine‑learning techniques and algorithms, such as k‑NN, Naive Bayes, SVM, Decision Forests, etc.
• Experience with common data science toolkits, such as R, Weka, NumPy, Matlab, etc.
• Great communication skills.
• Experience with data visualisation tools, such as D3.js, GGplot, etc.
• Proficiency in using query languages such as SQL, Hive, Pig.
• Experience with NoSQL databases, such as MongoDB.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Good scripting and programming skills.
• Data‑oriented personality.
• Highly effective communicator both orally and in writing; ability to explain matters precisely and efficiently.
• Organized and with attention to details.
• Ability to interact independently and self‑starting with colleagues and stakeholders.
• Excellent presentation, teaching and communication skills (English).
• Dedicated to professional growth through continuous education.