Data Science

Praktis; Jakarta Selatan; On-site; IDR 334.001.000 - 501.003.000; Full time

Job summary

A leading supply chain startup in Jakarta Selatan seeks a Data Scientist to leverage data analytics for enhancing business processes. The role involves collaborating across teams, optimizing demand forecasting, and mentorship of junior staff. Ideal candidates have at least 2 years of experience in data science, proficiency in Python or R, and understanding of supply chain concepts. Join us in helping Indonesian MSMEs thrive through innovative data solutions.

Qualifications

• 2 years of experience as a Data Scientist, preferably in supply chain.
• Proficiency in Python or R for data analysis and manipulation.
• Understanding of statistical analysis, data mining, and machine learning.

Responsibilities

• Collaborate with teams to identify business challenges and opportunities.
• Collect and preprocess large volumes of data from various sources.
• Develop predictive models for demand forecasting and inventory management.

Skills

Python

R

Data Manipulation

Data Visualization

Statistical Analysis

Tools

SQL

Metabase

Tableau

Power BI

AWS

Azure

GCP

Hadoop

Spark

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.