Company overview
We are
seeking a Data Scientist (Team Lead) 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 | Data Scientist (Team Lead) |
| Level | Skilled Non-Management |
| Language Skills | English (C1) |
| Professional Skills |
- Specialization or demonstrated experience in labor economics, demography, or development economics - Proficiency in Python and R, with the ability to guide advanced analyses and workflows in both languages. - Expertise in version control systems (e.g., Git) and collaborative coding practices within teams. - Experience with data visualization and storytelling tools is a plus (e.g., Tableau, Power BI, ggplot2, Plotly). - At least 5 years of experience in data science or a related field, with at least 3 years in a leadership role managing teams - Proven track record of leading data-driven projects and delivering actionable insights to clients. |
| Location | Zagreb |
| Education (min) |
Master’s degree in a STEM field (e.g., Data Science, Economics, Computer Science, Statistics, or a related discipline). A PhD is strongly preferred.
|
| Willingess to Travel (%) | 20 |
| Reports to | Manager |
| Sector | Sales |
| Contract | Permament |
Role Description
Key Responsibilities:
Strategic Leadership:
- Translate client needs into actionable project plans, ensuring that tasks are effectively delegated to team members.
- Provide strategic direction for data-driven analysis and model development, aligned with client objectives and company mission.
Team Management:
- Lead and mentor a diverse team of data scientists, fostering an environment of growth and collaboration.
- Manage team members on an HR level, including performance evaluations, promotions, and addressing disciplinary matters.
- Oversee workflows, ensuring adherence to best practices in collaborative coding and version control (e.g., GitHub).
Technical Oversight:
- Critically review the team’s work, ensuring code quality, analytical rigor, and methodological robustness.
- Provide hands-on guidance for advanced coding and data analysis in Python and/or R.
- Ensure compliance with company standards for reproducible research and transparency.
Client and Stakeholder Engagement:
- Serve as the primary point of contact for major multinational donors in this project, building trust and ensuring alignment of deliverables with client expectations.
- Represent the company at international conferences, workshops, and donor meetings, showcasing thought leadership in data science and labor economics.
Competencies
Soft Skills:
- Exceptional communication and interpersonal skills, with the ability to explain complex data concepts to non-technical stakeholders.
- Strong project management skills, including the ability to manage competing deadlines and priorities.
- Collaborative mindset with an ability to inspire and motivate teams.
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.