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 ScientistPhD 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. Drive feature evaluation and product roadmap with insightsDevelop scalable data solutions to be used to drive analyses, reports, and insights Influence upstream data model design, drive KPI definitions and develop customized data solutions Measure impact of features and initiatives and help improve customer experience Collaborate and influence cross functional partners to help deliver product objectives on time Communicate results, insights and expectations to partners and senior leaders, bridge any gaps between technical and non-technical audiences.