Senior Data Scientist

Masters or PhD in a quantitative field and 2+ years experience in a data science role; OR 4+ years experience in a data science role Ability to communicate complex technical work to technical and non-technical audiences Deep knowledge of machine learning techniques (clustering, classification, segmentation, time series analysis) Experience developing standard models into customized solutions Knowledge of big data technologies (e.g., Spark, Hadoop) Proven success applying data science and machine learning techniques to business problems Experience working on cross-functional teams Strong coding and problem-solving skills Intellectual curiosity and experience ideating solutions to novel problems Knowledge and skillset to use generative AI tools judiciously and appropriately

Explore, cleanse, and assess data quality Develop creative, scalable solutions for anomaly detection, classification, clustering, and inference Devise experiments and evaluations to test solutions Create functional and technical documentation Collaborate with engineering teams to productionize prototypes Communicate results to internal teams and customers Find creative solutions to business problems and develop them into data products Own and drive high-impact projects with minimal guidance