Job
Description
Location- Hyderabad Job model - Hybrid Purpose of the job We are looking for a proactive and customer-focused Data Scientist to support logistics operations and enhance the customer experience through advanced track and trace analytics. This role will focus on integrating and analyzing shipment data from TransVoyant s platform and external logistics service providers (LSPs) to ensure accurate, timely, and actionable visibility into supply chain movements. At dsm-firmenich, being a force for good is not optional. Diversity, Equity & Inclusion is a shared responsibility woven into our daily work to not only benefit our People, Cusotmers & Communities but also drive business value. Equal access to opportunities is a given, belonging is a shared feeling, authencity is celebrated. Key Responsibilities Develop and maintain data models and analytics to support real-time shipment tracking and traceability. Integrate and harmonize data from TransVoyant and third-party LSP platforms (e.g., carriers, freight forwarders, 3PLs). Identify and resolve data gaps or inconsistencies that impact shipment visibility and customer experience. Collaborate with logistics operations, customer service, and business units teams to define KPIs and improve logistics track & trace workflows. Build predictive reports and dashboards to anticipate delays, disruptions, or exceptions in the supply chain. Create dashboards and visualizations to communicate shipment status, trends, and performance metrics.Support root cause analysis and continuous improvement initiatives related to logistics performance. We bring The opportunity to work for a company where sustainability is much more than a claim and is core to our strategy and purpose A flexible work environment that empowers people to take accountability for their work and own the outcome An eagerness to be one team and learn from each other to bring progress to life and create a better future Barrier-free communities within our organization where every employee is equally valued and respected - regardless of their background, beliefs, or identity A culture that prioritizes safety and well-being, both physically and mentally A space to grow by encouraging and supporting curiosity and an open mindset You bring Bachelor s or Master s degree in Data Science, Supply Chain Management, Computer Science, or a related field.5+ years of experience in data science or analytics roles, preferably in logistics or transportation.Strong knowledge o f shipment tracking systems, EDI/API integrations, and logistics data standards. Proficiency in Python, SQL, and data visualization tools (e.g., Power BI, Tableau).Experience working with real-time or near-real-time data streams. Excellent problem-solving skills and a customer-centric mindset.Experience with real-time data processing and streaming technologies Comfortable using Microsoft Excel to analyze and summarize data, including graphs, charts, formulas, functions, solvers, and regression analysis. Ability to work in a fast-paced environment while managing multiple projects/priorities simultaneously.Excellent attention to detail, problem-solving, organizational and prioritization skills, Strong communication skills to collaborate effectively with cross-functional teams and present findings to both technical and non-technical audiences.Knowledge of supply chain, transportation and logistics operations is a plus. Familiarity with platforms such as TransVoyant, FourKites, Project44, or similar Logistics Service Providers visibility tools .Experience with machine learning models for ETA prediction or anomaly detection.Understanding of global transportation modes (ocean, air, road, rail) and logistics operations
