Data Scientist
Core
Develop, deploy, and scale machine learning (ML) and AI solutions for fleet analytics, logistics optimization, and operational decision-making. (via careerplan.io/jobs/7c5bb3c5-07d3-4fcd-9cd2-22dd5624edf1-data-scientist-at-charger-logistics-inc)
Role type
Senior IC machine learning engineer (logistics/fleet analytics)
Builds
Production-grade ML models, real-time streaming analytics pipelines, and AI-driven decision systems for fleet operations
Domain
Transportation logistics and fleet management
Deliverable
production ML models
Required skills
Python, SQL, Google Cloud Platform (Vertex AI, BigQuery), Kafka, RisingWave, anomaly detection, time-series forecasting, optimization, MLOps, LLMs/RAG
Preferred skills
Snowflake, geospatial/graph ML, computer vision, multi-cloud deployments, Azure/AWS/Databricks
Technologies
Google Cloud, Kafka, RisingWave, BigQuery, Vertex AI, Snowflake, OpenAI, Hugging Face, PyTorch, TensorFlow, XGBoost, LightGBM
Responsibilities
Design and deploy ML models for route optimization, ETA prediction, and predictive maintenance; Build anomaly detection and forecasting models; Develop batch and real-time ML pipelines; Integrate LLMs for conversational analytics and RAG systems; Operate MLOps workflows; Build end-to-end data pipelines; Design scalable analytical data models; Build dashboards for stakeholders
Seniority
Senior, hands-on IC
