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This range is provided by Comulate. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$160,000.00/yr - $220,000.00/yr
At Comulate, we’re transforming the insurance back office with AI. Our platform, which reinvents expensive and time-consuming accounting processes, is the first step in our vision to unlock the hundreds of billions of dollars spent on manual insurance operations.
Our Series B, announced in early 2025, led by BOND & Workday, comes on the heels of record growth and accelerating expansion plans.
Why you should consider joining
- Record-setting growth, having gone from zero to 8-figure ARR within three years of founding, representing 95th+ percentile company growth among startups that achieve these milestones
- Strong product market fit revealed in growth and through customer love, with users describing the platform as “the best thing since sliced bread” and "life-changing"
- Our lean, talented team is creating category-defining products for large public and private enterprises, driving 7-figure ROI and cash-flow positive operations, providing the best of both worlds: outsized employee ownership and low company risk
- We're continuing to take big, ambitious first-to-market bets for a highly committed customer base and an exciting pipeline of new customers
- We’re in the early innings of our vision and poised to take advantage of the massive opportunity to deploy AI into core workflows throughout the insurance industry
About The Role
We're hiring an
Applied Data Scientist to join us onsite in San Francisco. Our product is growing incredibly quickly, generating a massive dataset. But the insurance back office remains mired in manual processes. You'll have the opportunity to capitalize on this by building predictive models and AI-powered tools to transform what's possible for our customers.
Who you are
- 3+ years experience leveraging data-driven analysis and predictive modeling to drive key business decisions
- Proficiency with SQL and relational databases
- Proficiency with Python and associated data-processing libraries (Pandas, NumPy, etc.)
- Contributed to predictive systems in a production environment
- Excellent written and verbal communication skills; ability to clearly explain your work and collaborate with stakeholders
- Comfortable with handling ambiguity and working in a self-directed manner
- Curiosity about different industries and the data + business context within them
Projects you might work on
- Leverage the latest models to build agents automating natural language-based workflows
- Build a system to orchestrate + optimize the processing of millions of transactions
- Analyze the efficacy of a new product launch & recommend + drive product improvements
Our team & philosophy
We’re backed by BOND, Spark Capital, Neo, and Workday, as well as founders/executives from Brex, Asana, Plaid, Applied Intuition, Coalition, and more.
Our team hails from companies like Airbnb, Google, Brex, and LiveRamp and we’re fairly low-profile: focusing the majority of our energy on delivering for customers and building a category-defining company.
We’re hiring predominantly in San Francisco , as we believe in-person collaboration is strategically important for a company at our stage — both for velocity and company culture.
Benefits
- Competitive base salary and generous equity
- Generous medical, dental, and vision benefits
- 401K plan enrollment
- Flexible time-off policy
- Lunch & dinner every day
- Paid parental leave
- Company outings and offsites
- (and more benefits as we grow!)
Comulate is proud to be an equal opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics.
Compensation Range: $160K - $220K
Seniority level
Seniority level
Mid-Senior level
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Engineering and Information TechnologyIndustries
Insurance
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