Exzeo Software

- Design and build scalable data infrastructure to deliver business insights from diverse data sources. -Develop batch and real-time analytical pipelines and machine learning solutions. -Build and implement predictive models, classification systems, and deep learning frameworks. -Work with stakeholders to translate business requirements into analytical solutions. -Visualize and communicate analytical results to both technical and non-technical audiences. -Mentor junior team members and lead small project teams within the Data Science function. -Drive data storytelling to enable informed business decisions. -Contribute to architectural decisions, tool selection, and data strategy at an organizational level. Requirements Required Skills & Experience: -4+ years of experience in Data Science, with team leadership or mentoring experience. -Expertise in Python and core data science libraries: Pandas, NumPy, Scikit-learn, NLTK, TensorFlow/PyTorch, Keras. -Hands-on experience with Machine Learning, Deep Learning, and Natural Language Processing (NLP). -Strong understanding of model building, feature engineering, evaluation metrics, and deployment. -Excellent data visualization, presentation, and data storytelling skills. -Strong interpersonal and communication skills able to clearly explain complex models to business stakeholders. -Passionate about clean, maintainable code and reproducible research. Nice-to-Have Skills: -Domain experience in the insurance sector. -Familiarity with MLOps tools, cloud platforms (AWS, GCP, Azure), or big data tools (Spark, Hadoop). -Experience with data version control, experiment tracking, and model governance.