Data Science
Summary
Data Scientist at Praktis, an end-to-end supply chain startup helping Indonesian MSMEs, building predictive models for demand forecasting, inventory, procurement, and logistics using Python/R, SQL, and ML, plus dashboards with tools like Metabase/Tableau/Power BI. On-site in Jakarta.
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.