Job Description

Praktis is an end to end supply chain startup, focused on helping brands on their competencies, with reliable technology and a data powered platform for seamless business operation. Praktis started with a mission to help Indonesian micro, small, and medium enterprises (MSMEs) grow into a national and even international player, by helping manage their business operations through digitization and collaboration.

In order to achieve our mission we need Praktisi people who have Collaborative Growth, Openness & Trustworthy, and Excellence as their core values to give our clients best services and their values to grow. We provide room to growth, to exploring and living your potential and for a higher mission.

What You Will Do:

• Collaborate with cross-functional teams to identify business challenges and opportunities for leveraging data analytics within the supply chain.
• Collect, clean, and preprocess large volumes of structured and unstructured data from diverse sources such as ERP systems, logistics databases, sensor data, and external APIs.
• Apply advanced statistical analysis, data mining techniques, and machine learning algorithms to extract actionable insights and patterns from complex datasets.
• Develop predictive models to optimize demand forecasting, inventory management, procurement strategies, and transportation/logistics planning.
• Design and implement data visualization dashboards and reports to communicate findings and recommendations to stakeholders at various levels of the organization.
• Collaborate with IT teams to deploy scalable data infrastructure, implement data governance policies, and ensure data quality and integrity.
• Stay up to date with the latest advancements in data science, supply chain management, and technology trends to drive innovation and continuous improvement.
• Provide guidance and mentorship to junior team members on data science methodologies, best practices, and tooling.

What You Will Need:

• Proven experience (2 years) as a Data Scientist or similar role, preferably in the supply chain or logistics industry.
• Strong proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy).
• Solid understanding of statistical analysis, data mining, and machine learning techniques, including regression, clustering, time series forecasting, decision trees, and neural networks.
• Experience with data visualization tools (e.g., Metabase, Tableau, Power BI) and proficiency in SQL for data extraction and manipulation.
• Familiarity with supply chain management concepts, such as demand planning, inventory optimization, logistics optimization, and network design.
• Strong problem-solving skills and the ability to translate business requirements into analytical solutions.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark) is a plus.
• Relevant certifications in data science or supply chain management are desirable.