The Role

We're looking for a full-stack, product-minded 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 is a high-ownership role for someone who wants to work close to customers, shape product direction, and apply advanced 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, using technologies such as Snowflake, dbt, Salesforce, and Streamlit.

Own and evolve existing analytical products involving Monte Carlo simulation, Bayesian networks, optimization (linear and constraint programming), and generative capabilities.

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 data, modeling, or automation can meaningfully improve customer outcomes

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.

Strong data storytelling skills, with the ability to turn complex 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, dbt pipelines, simulation, optimization, machine learning, and emerging intelligent functionality.

Technical generalist mindset with enthusiasm for learning new tools, languages, and platforms, and comfort leveraging modern AI-assisted tools to accelerate work.

Strong SQL skills and familiarity with Java, or the motivation and ability to ramp up quickly.

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, or a related field.

Experience working with Salesforce data or platforms (nice to have).

Exposure to simulation, optimization, or operations research techniques (nice to have).

Experience building or maintaining machine learning models, including customer churn or retention models (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, strategy, data, tools and products

Begin contributing to existing analytics or product initiatives with guidance

In three months, you will:

Being agile development of our new greenfield product in concert with our partners

Collaborate with customers and partners to effectively iterate and enhance the product

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

Directly manage and incorporate feedback from customers and function as a product owner

Consistently meet delivery expectations with minimal oversight

Propose new enhancements and products to our growing line of data products

Compensation & Benefits

The annual base salary range for this position is $115,000-$135,000, 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.

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