Data Scientist

DataOrbis Slovenia drives business success through data-driven decision-making. The vision for our Data Scientist is to transform raw data into actionable insights using advanced analytics and machine learning. In this role, you will design, implement, and optimise data models while collaborating with cross-functional teams to deliver solutions that align with business goals. You will primarily work with our International clients, ensuring seamless integration of data-driven strategies to meet their needs. Our solutions span a broad spectrum—from cloud-based, AI-powered platforms and machine learning-driven predictive technologies that anticipate customer behaviour, to centralised, visually intuitive dashboards.

These custom-built solutions automate and unify every aspect of the management process. We go beyond tracking behaviour—we forecast what customers want, what they purchase, and how much they buy. Our innovations have transformed forecasting across key business functions, including pricing, inventory management, customer insights, and sales analytics. If you want to join our team, this is what you should know. What you will do: Communicate complex analytical concepts clearly and effectively to stakeholders using visualisations, storytelling, and business-relevant language. Excellent communication skills and ability to translate data insights into business recommendations.

Conduct exploratory data analysis and provide actionable insights to stakeholders. Develop and maintain predictive models and data-driven algorithms to support business initiatives. Perform data extraction, transformation, and analysis using SQL and Python. Work with distributed data processing frameworks such as Apache Spark and PySpark to handle large-scale data processing. Implement and optimise machine learning algorithms to enhance decision-making processes. Work closely with engineering teams to ensure scalable deployment of models in production environments. Optimise data pipelines and workflows, ensuring efficiency and reliability. Utilise cloud-based services, particularly Azure, for data storage, processing, and deployment.

Implement version control and collaborate on code using Git. Apply DevOps principles for model deployment, monitoring, and automation. What you need: Strong problem-solving skills and ability to work with complex datasets. Excellent communication skills and ability to translate data insights into business recommendations. Being proactive in engagement and showing initiative in interpersonal interactions. Demonstrating general knowledge across the IT landscapeStrong proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-Learn, etc. ). Experience with SQL for querying, manipulating, and analysing large datasets. Experience with Apache Spark and PySpark for big data processing.

Hands-on experience with cloud platforms, preferably Azure, including services such as Azure Databricks and Azure Synapse. Experience with data automation platforms (Alteryx or similar)Strong understanding of data structures, algorithms, and optimisation techniques. Experience working with version control systems (Git) and collaborating in a DevOps environment. Ability to design, build, and optimise ETL pipelines and data workflows. What's advantageous: Experience working with data in the FMCG field. Exposure to CI/CD pipelines for deploying data models. Familiarity with MLOps best practices. Hands-on experience with API development for model deployment.

Knowledge of data visualisation tools such as Power BI and Pyramid Analytics. 3-5 years of experience in the field of Data Science