Data Scientist

3+ years of experience in a Data Scientist or similar quantitative role. Bachelor’s Degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering); Master’s or PhD preferred. Expert proficiency in Python and SQL for data manipulation and analysis. Demonstrated experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch). Solid understanding of statistical modeling and experimental design. Experience with cloud platforms (e.g., AWS, Azure, GCP) AWS preferred. Ability to analyze and synthesize complex data into meaningful executive summary reports. Ability to innovate, execute and deliver results. Proficiency with Microsoft Office/Google Products. Strong attention to detail with the ability to meet tight deadlines. Ability to communicate professionally, both written and verbal. Effective problem solving and critical thinking skills.

Design, develop, and implement production-ready machine learning models and algorithms. Provide core analytical expertise for ZB Agent family by developing model logic. Develop and maintain robust, scalable data pipelines and data processing systems. Collaborate with Engineering and Product teams to deploy models into production. Adhere to data governance and ethical AI principles. Clean, transform, and preprocess raw data. Develop and implement MLOps strategies. Conduct A/B testing and leverage Active Learning principles. Partner with Product Managers and business stakeholders to define success metrics. Build and maintain reports to track key performance indicators. Participate in code reviews and contribute to shared codebase. Evaluate and recommend new tools, technologies, and methods for the data science stack.