Company overview
We are
seeking a Junior Data Scientist to join our team in Zagreb. This position offers an excellent opportunity for early-career professionals to enhance their skills in data analysis, statistical modelling, and machine learning across diverse projects. Our client, a pioneering company headquartered in Vienna, Austria, with offices in Washington D.C. and Nairobi, operates in the data analytics and forecasting industry. They specialize in producing globally consistent and reliable forecast data on consumer demand, utilizing advanced data science techniques. Their insights, are critical for businesses, particularly in FMCG, retail, and financial services sectors, supporting informed decisions on market potential and sustainability goals.
| Position Title | Junior Data Scientist |
| Level | Skilled Non-Management |
| Language Skills | English (C1) |
| Professional Skills | Technical Skills: - Proficiency in Python or R for data analysis and modelling. - Experience with data wrangling, statistical analysis, and machine learning models. - Strong knowledge of SQL and experience with database management. - Familiarity with version control tools like GitHub is a plus. Professional Experience: - At least 2 years of experience in data science, data analytics, or a related field. - Hands-on experience working with real-world datasets and developing data-driven solutions. |
| Location | Zagreb |
| Education (min) | Bachelor’s or Master’s degree in a STEM field such as Data Science, Computer Science, Statistics, Mathematics, or a related discipline. |
| Willingess to Travel (%) | 20 |
| Reports to | Manager |
| Sector | Sales |
| Contract | Permament |
Role Description
Key Responsibilities:
Data Analysis & Modeling:
- Process, clean, and analyze both structured and unstructured data to extract meaningful insights.
- Develop and implement statistical models using Python or R.
- Conduct exploratory data analysis (EDA) and prepare data for machine learning applications.
- Assist in creating predictive analytics for various business needs.
Data Visualization & Reporting:
- Design interactive dashboards and reports utilizing tools like Tableau, Power BI, ggplot2, or Plotly.
- Translate complex data findings into clear, actionable recommendations for business stakeholders.
- Contribute to the preparation of reports and presentations for both internal teams and external clients.
Collaboration & Learning:
- Collaborate closely with senior data scientists and analysts to enhance methodologies and approaches.
- Manage multiple projects simultaneously, ensuring quality and efficiency.
- Stay informed about the latest technologies, tools, and techniques in the data science field.
Competencies
Soft Skills:
- Excellent analytical and problem-solving skills.
- Ability to communicate complex data insights effectively to non-technical stakeholders.
- A proactive attitude towards learning and adapting in a dynamic environment.
Personal Characteristics
- Result orientation: The ideal candidate has a clear understanding of what it means and takes to deliver results on time, on budget and on quality.
- Strategic orientation: The candidate is quickly able to work and integrate himself into new and challenging projects.
Analytical skills: The ideal candidate has excellent analytical and communicative skills. The candidate has healthy self-confidence and easily understands and evaluates the given situation.
Open-minded and driven by success: He/ She has the ability to quickly drive ideas into solutions while helping to provide input and help the team.