Build action-driven analytics that support real-time operational and commercial decisions, prioritizing current-state signals over long-term forecasting.
Analyze live logistics data (ETAs, costs, delays, congestion, performance) to enable rapid execution, rebalancing, and pricing decisions.
Design and optimize data models and pipelines using PostgreSQL, Salesforce, Data Cloud, and external systems for high-volume workloads.
Apply advanced analytics, ML, and LLMs (e.g., Mistral) for scoring, anomaly detection, prioritization, and decision support.
Embed insights into Salesforce workflows, Agentforce, alerts, and approvals to drive execution.
Deliver decision-focused Tableau dashboards highlighting exceptions, priorities, and recommended actions.
Own solutions end-to-end, ensuring analytics translate into real operational outcomes.
Strong Data Scientist experience in operational environments with an action-oriented mindset.
Advanced PostgreSQL expertise and hands-on experience with Salesforce, Data Cloud, and Agentforce.
Proven experience building decision-driven Tableau dashboards.
Background in B2B and logistics, with exposure to pricing and optimization use cases.
Experience leveraging LLMs (e.g., Mistral) for decision support and analytics.
Strong communication skills with high ownership and accountability.
Data Scientist - Reef Tower Dubai, Dubai, United Arab Emirates, United Arab Emirates - Nebarex
Description
Company Description
Nebarex is more than software; it's a system designed for speed, clarity, and control. Built for the real world of logistics, it connects your operations into a single workflow where every actor is visible, every delay is escalated, and every step moves your business forward.
Role Overview
We're looking for a hands-on Data Scientist focused on building action-oriented data sets and analytics that drive immediate decisions and execution. The role operates in a highly volatile logistics and B2B environment where insights must be based primarily on current and near-real-time data, not long-horizon forecasting. The Data Scientist will own the full lifecycle- from problem analysis and data modeling to development, deployment, and decision-focused reporting- ensuring analytics consistently lead to concrete operational and commercial actions.
Key Responsibilities
Role Requirements