Opportunity Description
Sr. Full Stack Data Science Engineer Join a high-impact analytics team that shapes business decisions through data, insights, and AI/ML. Collaborate with business leaders and cross‑functional teams to uncover opportunities, build scalable analytics solutions, and translate complex analysis into actionable insights.
Responsibilities
Lead end‑to‑end performance diagnostics across customer, product, and advisor dimensions to identify growth, efficiency, and primacy opportunities.
Translate curated data into actionable insights through hypothesis development, testing, analysis, and stakeholder storytelling.
Design and deliver scalable analytics assets, including datasets, dashboards, segmentation frameworks, and predictive AI/ML models.
Investigate, evaluate, and implement AI/ML tools and algorithms to solve complex business problems.
Develop compelling visualizations and data stories tailored to technical and non‑technical audiences.
Responsibilities
Lead end‑to‑end performance diagnostics across customer, product, and advisor dimensions to identify growth, efficiency, and primacy opportunities.
Translate curated data into actionable insights through hypothesis development, testing, analysis, and stakeholder storytelling.
Design and deliver scalable analytics assets, including datasets, dashboards, segmentation frameworks, and predictive AI/ML models.
Investigate, evaluate, and implement AI/ML tools and algorithms to solve complex business problems.
Develop compelling visualizations and data stories tailored to technical and non‑technical audiences.
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