Data Scientist, WW Ops FP&A
Core
Technical lead driving strategy for automated financial forecasting engines and LLM-powered Finance Knowledge Bases to streamline decision-making for senior leadership.
Role type
Senior IC data scientist (financial forecasting & GenAI)
Builds
Scalable, production-grade forecasting systems and RAG/LLM-based financial knowledge retrieval solutions
Domain
Finance / Generative AI / Time Series Analysis
Deliverable
production ML models | product features
Required skills
statistical modeling, machine learning, time series analysis, econometrics, SQL, Python, RAG system design, GenAI solution development, mentoring
Preferred skills
Ph.D. in STEM, ML concepts for reasoning, benchmarking GenAI models, cross-disciplinary project leadership, quantitative business analysis
Technologies
Python, SQL, R, SAS, Matlab, LLMs, RAG
Responsibilities
Solve ambiguous business problems influencing financial decisions, design scalable data extraction approaches, develop solution metrics, implement RAG/LLM systems, solve GenAI challenges (accuracy/latency), mentor less experienced scientists
Seniority
Senior, hands-on IC with mentorship
