Senior Data Scientist

Fusion Risk Management is a fast-growing, innovative company committed to fostering a supportive, inclusive environment and recognized by the Chicago Tribune and Built in Chicago for its culture!

Fusion is a leading provider of cloud-based software solutions for operational resilience, encompassing risk management, third-party risk management, information technology and security risk, business continuity and disaster recovery, and crisis and incident management. Recognized by Gartner, Forrester, Deloitte, and more, we seek to build a more resilient world by empowering organizations to make data-driven decisions and helping them achieve greater overall resilience.

Our flagship product, The Fusion Framework® System™, delivered on the Salesforce Lightning Platform, provides companies a North Star for operational resilience. Fusion serves mid-size organizations to Fortune 50 companies across various verticals including financial services, manufacturing, energy and utilities, retail, pharmaceuticals, and education.

We are looking to add talented individuals to our team who are passionate about our vision to build a resilient world together and inspired by the challenge of solving key business problems. We seek can-do people who fit the culture, align with our core values, and prioritize continued personal and professional development. If this sounds like you, read on!

Core Values

Our values are at the center of our company. They are the core ethics and principles that help define our personality as an organization and help give us focus and purpose. They are overarching, building blocks of our culture and can always be used as a consistent reference point our company-wide ethics.

• Trust: Earn teammates’ trust and assume positive intent; act with integrity; respect diversity of thought, skills, and background
• Passion: Make a difference; don’t wait until you’re asked or instructed; maintain a bias to action and impact
• Collaboration: Think systematically and see your role within the bigger picture; be accountable for your part of team success; put your teammates in a position to thrive
• Customer Centricity: Demonstrate a solid commitment to customer success by providing positive and consistent customer experiences (exhibiting professionalism, patience, respect, and knowledge); Proactively engage our customer community, seek customer feedback - be open to listening - and actively incorporate the voice of the customer into daily activities
• Growth: Strive for excellence; embrace change; prioritize continuous improvement

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.

What You'll Bring to Numerator

Knowledge, Skills, And Abilities

• Product-minded approach with the ability to learn new domains quickly, develop deep empathy for customer problems, and translate those needs into impactful data solutions.
• Experience with or strong interest in network analysis, graph analytics, or problems where relationships between entities are central—e.g., dependency mapping, supply chain risk, social network analysis, fraud detection, knowledge graphs, or similar domains.
• Familiarity with graph concepts (centrality measures, community detection, shortest path, cascading failure analysis) and comfort reasoning about data as networks rather than flat tables.
• Experience with entity resolution, record linkage, or deduplication—whether using probabilistic matching frameworks, ML-based approaches, or rules-based systems.
• Strong data storytelling skills, with the ability to turn complex network-based analyses into clear, compelling dashboards and visualizations for both technical and non- technical audiences.
• Comfort working across the data science stack, including production-grade SQL, transformation pipelines, simulation, optimization, machine learning, and emerging intelligent functionality.
• Technical generalist mindset with enthusiasm for learning new tools, languages, and platforms.
• Familiarity with AI-assisted development and analysis tools (e.g., Copilot, Cursor, Claude Code, or similar) and comfort using them to accelerate data science and engineering workflows.
• Strong SQL skills and familiarity with Python; Java experience is a plus.
• Experience collaborating closely with customers or customer-facing teams and taking ownership of translating real-world problems into data-driven solutions.

Qualifications (Education And Experience)

• Bachelor’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field.
• 5+ years of experience in data science, machine learning modeling, and data products.
• Experience delivering value-creating data products for end users.
• Experience with graph or network-structured data in a professional, research, or academic setting (strongly preferred).
• Experience with entity resolution or record-matching techniques (nice to have).
• Exposure to simulation, optimization, or operations research techniques (nice to have).
• Experience building or maintaining machine learning models, including predictive scoring or classification models (nice to have).
• Experience working with Salesforce data or platforms (nice to have).

Milestones for the First Six Months

In One Month, You Will

• Complete all HR and onboarding requirements
• Become familiar with Fusion’s industry, data strategy, graph data model, tools, and products
• Begin contributing to existing analytics or product initiatives with guidance

In Three Months, You Will

• Begin agile development of our new greenfield product, including graph-based analytical features, in concert with our partners
• Collaborate with customers and partners to iterate on entity resolution and network analysis capabilities
• Commit tightly scoped enhancements to existing data science products

In Six Months, You Will

• Own and deliver the first version of our new data product, including graph analytics and predictive features
• Directly manage and incorporate feedback from customers and function as a data product owner
• Consistently meet delivery expectations with minimal oversight
• Propose new enhancements and products leveraging graph intelligence and feedback-loop-driven models

Compensation & Benefits

The annual base salary range for this position is $145,000-$160,000, depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual bonus. Fusion offers a comprehensive benefits package including medical, dental, vision, and a 401(k) plan.

Disclaimers

Fusion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, age, pregnancy, military service or discharge status, genetic information, sex, sexual orientation, gender identity, or national origin. Nothing in this job posting should be construed as an offer or guarantee of employment.