Location: Belgrade and Budapest

We are looking for a Data Scientist who collaborates with a team of professionals to gather business, architectural, and non-functional requirements, subsequently translating these into robust, scalable, and operational analytical solutions that integrate seamlessly with the overall data architecture. The individual will design applications based on the identified architecture, technology landscape, IT standards, and enterprise roadmaps. Additionally, this role involves supporting design implementation by addressing complex technical challenges encountered by the project team throughout the entire development lifecycle.

Role overview

• Identify business problems.
• Find the appropriate data and methods to address these problems.
• Build and validate analytical models.
• Present findings in a clear and informative manner.
• Analyze large volumes of structured and unstructured customer data using advanced analytical solutions.
• Utilize various mathematical and econometric models to develop descriptive and predictive models that support better decision-making.
• Transform analyzed data into actionable insights and business value.
• Present results to all management levels.
• Create high-quality data visualizations.
• Communicate effectively with different departments and roles, such as product managers and engineers, to discuss complex data-driven findings and technical issues.
• Educate and train others on data science-related topics.
• Estimate, plan, and coordinate the delivery of large projects using the Scrum framework.
• Create a data science solution architecture.
• Propose holistic data science solutions for customer problems.

We believe that you’ll enjoy this role if you have

• Aptitude for problem solving
• Excellent communication and teamwork skills
• Great attention to detail
• Familiarity with Agile frameworks
• Startup experience
• Remote work experience

What you’ll need to be successful

• Familiarity with at least one of these domains: CPG, Retail, and Commodity Trading.

Technology Stack

• Platforms: Linux, Windows
• Programming Languages: Python, R, SQL
• Python libraries: scikit-learn, pandas, NumPy, SciPy, matplotlib, seaborn; Koalas
• Big Data: Spark, Hadoop, Hive
• Cloud: Azure – Storage; Compute; Notebooks; Data Catalogs
• CI/CD principles & tools (e.g. Jenkins)
• Version Control Systems (e.g. Git)

Benefits of joining us

• You will share a next-generation vision and mission through our revolutionary, Digital Assistant for Revenue Management. You will have a purposeful job in our fast-growing environment where we will build something amazing together!
• Even when you work hard, you will still have time for your personal life due to flexible working hours based on core time.
• You will work in a flat and flexible organization where every team member has access to any team member. Working on exciting projects independently, while closely connected with leading, super cool and talented international experts encourages everyone to think outside the box and gain new experiences.
• You will have the collaboration and support of the team whenever you need it.