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 the value of complex technical work to both technical and non-technical audiences Deep knowledge of machine learning techniques like clustering, classification, segmentation, and time series analysis Experience developing standard models into customized solutions for real-world data problems Knowledge of big data technologies (e.g., Spark, Hadoop, etc.) 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, a drive to understand unexplored datasets, and experience ideating solutions to novel problems Knowledge and skillset to use generative AI tools judiciously and appropriately in your workflow

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