Data Scientist I - Supply chain Analytics

Role summary

What you will do

• Lead analytics and optimization projects across transportation, logistics, supply chain, network design, and transportation modeling.
• Develop and enhance transportation models and digital supply chain solutions to optimize costs, improve service levels, and support strategic decisions.
• Analyze transportation and logistics data for network optimization, freight efficiency, carrier performance, and cost-reduction opportunities.
• Build data pipelines, ETL processes, dashboards, and visualizations for modeling, forecasting, and operational decisions.
• Collaborate with cross-functional stakeholders on scalable analytical solutions, continuous improvement, automation, and innovation.

Domain and technical expertise

• Domain knowledge includes supply chain, Transportation Management Systems, transportation modeling, and logistics optimization.
• Strong Python proficiency for AI/ML, optimization, analytics, and automation; experience with SQL, data engineering, and data integration.
• Working knowledge of AI/ML, Generative AI, Operations Research, and predictive analytics.
• Experience developing dashboards and visualizations using Power BI or similar tools.
• Intermediate to advanced values-based competencies include integrity and trust, inclusive relationships, customer focus, problem solving, priority setting, and decision making.

Required qualifications and experience

• Bachelor’s or Master’s degree in Engineering/Technology, Supply Chain Management, Logistics, or a related field.
• 4–6 years of experience in logistics analytics, transportation, optimization and simulation, machine learning, or AI.
• Strong proficiency in Python and SQL/SAS.
• Experience using MS Office tools and standard statistics/data visualization tools.
• Strong communication, presentation, analytical, and project management skills.
• Ability to collaborate in team settings with high attention to detail.

Desired qualifications

• Basic working knowledge of BY Transportation Modeler, Supply Chain Guru, or similar supply chain optimization tools is desired.
• Experience developing Python data science solutions in ML, AI, or optimization is desired.
• Microsoft Office 365 proficiency and experience with Power BI or similar visualization tools are desired.

Benefits

• The employer describes day-one benefits, potential variable bonus, paid annual leave, flexi leave, medical coverage, and insurance, with benefits prorated based on hire date.

Application notes

• Applicants should apply using an English version of their CV.
• The posting states that candidates who now or in the future require employment visa sponsorship in India are not being hired for this position.