Data Scientist, Supply Chain Analytics & Forecasting

Praktis; Jakarta Utara; On-site; IDR 180,000,000 - 300,000,000; Full time

Job summary

Praktis is building an end-to-end data science team to optimize supply chain operations. This role focuses on collecting and preprocessing data from ERP, logistics, and external sources, applying ML and statistical techniques to forecast demand and improve inventory and procurement decisions.

You will develop predictive models, design insightful dashboards, and collaborate with IT to deploy scalable data infrastructure while mentoring junior team members.

Qualifications

• 2+ years as a Data Scientist or similar, preferably in supply chain or logistics.
• Proficient in Python or R with data manipulation libraries.
• Strong statistics, data mining, ML: regression, clustering, time series, trees, neural nets.
• Experience with data viz tools and SQL for data extraction.
• Familiarity with SCM concepts: demand planning, inventory/logistics optimization.
• Cloud platforms (AWS/Azure/GCP) and big data tech (Hadoop/Spark) a plus.
• Certifications in data science or supply chain are desirable.

Responsibilities

• Collaborate with cross-functional teams to identify data analytics opportunities in the supply chain.
• Collect, clean, and preprocess large volumes of data from ERP, logistics, sensors, and external APIs.
• Apply advanced statistical analysis and ML to extract actionable insights.
• Develop predictive models for demand forecasting, inventory management, and transportation planning.
• Design dashboards and reports to communicate findings to stakeholders.
• Work with IT to deploy scalable data infrastructure and ensure data quality.
• Stay updated on data science, SCM trends to drive innovation.
• Mentor junior team members on methodologies and tooling.

Skills

Python

R

Pandas/NumPy/SciPy

SQL

Metabase

Tableau

Power BI

Hadoop

Spark

AWS

GCP

Tools

Metabase

Tableau

Power BI

Hadoop

Spark

AWS

Azure

GCP

Job description

Praktis is building an end-to-end data science team to optimize supply chain operations. This role focuses on collecting and preprocessing data from ERP, logistics, and external sources, applying ML and statistical techniques to forecast demand and improve inventory and procurement decisions.

You will develop predictive models, design insightful dashboards, and collaborate with IT to deploy scalable data infrastructure while mentoring junior team members.