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Tier-1 brand, remote flexibility, and metro hiring increase qualified applicant density.
Strong ML/LLM and product-focused data science requirements limit cross-industry transferability.
Explicit 9+ years, principal seniority, and required ML/LLM technical stack enforce strict filters.
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Lead and influence strategy and key decisions for Service Collection by integrating business acumen with advanced data science and AI methodologies.
Define, track, and report on department-level key results for the Service Collection R&D team.
Build and implement measurement frameworks, machine learning models, and tooling to drive product roadmap decisions; lead high-impact projects in collaboration with cross-functional teams.
9+ years of experience in Data Science or related fields; preferred 10+ years with a post-graduate degree in a quantitative discipline.
Expertise in machine learning methods including Large Language Models (LLM) and strong judgment on their business application.
Proficiency in SQL and at least one data science programming language (e.g. Python, R) with experience in libraries such as Pandas, Numpy, Scikit-learn.
Experience explaining complex technical concepts to non-technical audiences and proficiency in data visualization tools/libraries (e.g. Streamlit, Tableau, matplotlib).
Senior data scientist comfortable working with executive stakeholders and influencing strategic business decisions.
Experienced in leading cross-functional collaborations with Engineering, Product Management, Design, Data Engineering, and Research teams.
Demonstrates a balance of high-quality output with pragmatic delivery and mentors junior team members to build a strong data science culture.