Senior Data Scientist
Fusion Risk Management
Data Science
United States · Remote
The Role
We’re looking for a full-stack, product-minded Senior Data Scientist to help build a new greenfield product at Fusion. This work will unify resilience data from some of the
world’s largest and most systemically important organizations—and help define the future research and analytics for an entire industry.
This role sits at the intersection of graph analytics, predictive modeling, and product development. You’ll work with network-structured data—operational dependencies,
recovery sequences, supply chain relationships—and apply advanced analytical techniques to problems where the structure of connections between entities matters as
much as the entities themselves.
This is a high-ownership role for someone who wants to work close to customers, shape product direction, and apply graph-aware analytics and modeling techniques to real-world, high-impact problems.
Key Responsibilities
• Partner closely with customers and internal product teams to design and build the first in a new line of data products powered by a graph-backed resilience platform.
• Develop and apply network analysis and graph-based analytical techniques to model operational dependencies, identify critical nodes, assess cascading failure risks, and optimize recovery sequences.
• Own and evolve existing analytical products involving Monte Carlo simulation, Bayesian networks, optimization (linear and constraint programming), and generative capabilities.
• Design and build entity resolution models that match and link records across disparate customer data sources—using probabilistic, deterministic, or ML-assisted approaches.
• Contribute to predictive intelligence initiatives, including models for threat and risk scoring, escalation prediction, and recovery time estimation that improve through feedback loops.
• Contribute to internal analytics initiatives, including maintaining and improving our predictive churn model and supporting product and usage analytics.
• Help influence product direction by identifying opportunities where graph analytics, modeling, or automation can meaningfully improve customer outcomes.