workable
Sr. Data Scientist
Charger Logistics Inc
Remote, USA
Full-time
Senior · 6+ years experience
Remote
Discovered 2 days ago
PythonPandasNumPyScikit-learnPyTorchTensorFlow
Free
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Responsibilities
- Design, develop, and deploy production-grade ML models for fleet optimization, including route optimization, ETA prediction, fuel efficiency, capacity planning, predictive maintenance, and driver behavior analysis.
- Build anomaly detection, forecasting, and time-series models to monitor vehicle health, trip deviations, fuel theft, and demand fluctuations.
- Develop batch and real-time ML pipelines with low-latency inference using Kafka, RisingWave, and cloud services.
- Integrate large language models (OpenAI, Google MCP, Ollama, Hugging Face) for conversational analytics, automated insights, and retrieval-augmented generation (RAG) systems.
- Operate MLOps workflows on Google Cloud using Vertex AI Pipelines, Feature Store, and Model Registry, supporting model training, deployment, monitoring, and drift detection.
- Build and optimize end-to-end data pipelines for analytics and ML using BigQuery, Dataflow, Dataproc, Vertex AI, Cloud Functions, Pub/Sub, and Cloud Composer (Airflow).
- Design scalable analytical data models in BigQuery, AlloyDB PostgreSQL, and Snowflake; optimize SQL-based feature engineering, data partitioning, and clustering.
- Perform exploratory data analysis (EDA) to uncover trends, anomalies, and business insights.
- Build dashboards and visualizations for stakeholders.
- Collaborate with cross-functional teams to translate business problems into robust data science solutions.
- Support best practices in model development, experimentation, documentation, and data governance.
Requirements
- Bachelor’s degree or equivalent in Data Analytics, Statistics, Mathematics, or Computer Science.
- 6+ years of hands-on experience in data science and machine learning/AI, delivering production-grade ML solutions.
- Strong experience in Python, including libraries such as Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, XGBoost, and LightGBM.
- Advanced SQL skills, including CTEs, window functions, and query optimization.
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