Data Scientist

Responsibilities

• Design and build statistical and machine learning models to solve engineering problems, such as predicting failures, optimizing processes, or identifying trends
• Partner with engineering stakeholders to translate open-ended questions into well-scoped analytical projects
• Explore and analyze large, complex datasets to uncover patterns and insights
• Collaborate with data analysts and software engineers to productionize models and integrate them into existing systems and workflows
• Validate model performance and monitor models in production, retraining or adjusting as needed
• Communicate findings, methodologies, and recommendations clearly to both technical and non-technical stakeholders

Qualifications

• A good candidate should have 3+ years of experience in a data science or applied statistics role.
• Bachelor's degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related field required. MS or PhD preferred.
• Solid understanding of statistical methods and machine learning techniques
• Comfort working with messy, real-world data, including cleaning, reconciling, and validating across multiple sources
• Strong communication skills, able to explain complex methodologies to non-technical stakeholders
• Strong proficiency in Python (scikit-learn, pandas, numpy, or similar) for model development
• Experience with SQL for querying and preparing data