Junior Data Scientist

We are looking for an enthusiastic Junior Data Scientist to join the activities of our team. The candidate will have the opportunity to work on cutting edge projects by performing in-depth analysis on big data. The successful candidate will join a friendly team of leading experts in the field of Data Science and expand their knowledge in a pleasant and inspiring environment.

The main responsibilities of the position include:

• Execute queries in both relational and non-relational databases.

• Perform data cleansing and preprocessing.

• Analyze and resolve data issues.

• Perform ad-hoc reporting where is needed

• Collaborate with cross-functional teams to understand business requirements.

• Performing exploratory data analysis to identify patterns and trends.

• Assess the performance of the models developed by the Data Scientists

• Communicate results with the rest of the team 

Main requirements:

• University degree in Computer Science, Data Science or related field.

• At least 1 year of experience with Python-based libraries, such as Pandas, NumPy and Polars for data wrangling and preprocessing.

• Strong foundation in Python, with the ability to write clean and efficient code for production-ready projects and scalable solutions.

• Fundamental knowledge or exposure to Machine Learning and Natural Language Processing (NLP) concepts.

• Experience with data visualization tools and libraries in Python (e.g., Matplotlib, Seaborn, Plotly).

• Willingness to learn and stay up to date with emerging data science trends and new technologies.

• High attention to detail.

• Ability to work in a team.

• Strong analytical and problem-solving skills.

• Self–motivation and passion to work with data.

• Eagerness for continuous professional development.

• Excellent verbal and written communication skills in English.

The following will be considered an advantage:

• Familiarity with SQL queries. Experience with MongoDB queries and the aggregation framework.

• Familiarity with Unix/Linux.

• Basic understanding of AWS services