Data Scientist - Strategic Data Solutions

Research and develop evaluation methods to address fraud. Solve difficult, non-routine analysis problems by applying statistical, machine learning and advanced analytical methods as needed. - Design and execute observational and experimental studies of causal inference - Work with large, complex data sets. - Develop automated solutions to deliver insights and alerts - Drive feature evaluation and product roadmap with insights Minimum Qualifications Masters in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent Proficiency in data querying using SQL, Spark, or equivalent technologies Proficiency in scripting languages for data processing and analysis (ex: Python, R, or Scala) Excellent communication and multi-functional collaboration skills, ability to convey complex concepts to diverse audiences At least 3 years experience working as a Data Scientist Preferred Qualifications PhD in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent Experience applying LLMs to solve technical problems such as data analysis, data automation, synthetic data generation with proven ability to optimize model performance for accuracy and efficiency Excellent product intuition, keen eye for design and customer pain point awareness Experience developing anomaly detection and causal inference models