Data Scientist
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 OverviewWe'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- 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 Postgre
SQL, 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 Postgre
SQL 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.
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