Think of your favorite book from childhood. Got it? Great. Now, that warm, joyful feeling you have right now—that’s what we do. Literati is a modern children’s book company focused on helping kids fall in love with reading at every age and stage. We make it easy to find great books through our school book fairs, school store fundraising platform, and book clubs using a unique mix of expert curation and data science. We’re on a mission to help parents ignite a love of learning and a love of life.
As a Data Scientist focusing on inventory and personalization, you’ll directly influence which books enter our collection and how they reach children’s hands. You’ll develop and deploy machine learning models to optimize our inventory decisions, personalize book selections for schools, and predict inventory movement.
This is a full-stack data science position where you’ll own problems from ideation through production and validation, building solutions that drive measurable business outcomes.
To be equitable to all Literatians, we have set compensation and a non-negotiation policy- we don’t think a person’s pay should be determined by how comfortable they negotiate. As a result, we like to be transparent and up-front about the compensation. When we make an offer, we can provide options so that employees can choose between compensation packages that prioritize salary or equity. The salary band for this role will be between $150,000 – $200,000. This position is classified as exempt and is not eligible for overtime pay.
This Position is for Individual Applicants Only; No Third-Party Applications Will Be Considered
REQUIREMENTS
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Advanced degree in Data Science, Computer Science, Statistics, Operations Research, or a related quantitative field
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2+ years of experience using the tools of data science to solve impactful business problems
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Passion for making a positive impact on children’s education
WE’D LOVE TO SEE
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Experience developing, deploying, and maintaining production ML systems
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Knowledge of retail business models or inventory optimization
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Strong ability to make decisions with complex or uncertain objectives
RESPONSIBILITIES
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Develop ML models to identify optimal books for our inventory, personalize selections for different schools, and forecast inventory levels
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Take data science projects from concept to production, including experimentation and iteration
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Identify new opportunities to drive business impact through data science
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Champion best practices in algorithm engineering and machine learning operations
Disclaimer: This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the job. The employer reserves the right to modify this job description at any time.
ABOUT LITERATI
Literati was recently named Inc. magazine’s 7th fastest-growing company in Texas and 77th fastest-growing in the United States, as well as listed in Built In Austin’s 2022, 2023, 2024, and 2025 “Best Places to Work.” Jessica Ewing, Literati’s Founder and CEO, was named one of “Google’s Top 12 Most Innovative Minds” by Fast Company. We’ve raised over $60M in venture capital to date, with key investors including Founders Fund, General Catalyst, Felicis, 01A, and Stephen Curry’s SC30.
We offer competitive salaries, company equity, medical/dental/vision insurance, 401k, short-term disability insurance, parental leave, employee assistance programs, flexible work schedules, and untracked time off.
Literati is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
We are dedicated to cultivating and preserving a culture of inclusion and connectedness that sees, reflects, welcomes, and celebrates the innovation and talent of a diverse array of people. We seek people with drive and a touch of alchemy. We also recognize that some people—particularly underrepresented groups, women, BIPOC, and LGBTQ+—may not be comfortable applying to a position unless they meet 100% of the qualifications. Even if your experience isn’t a precise match for the role, we highly encourage you to apply. And if your career has taken you to some spectacular (or spectacularly strange) places, we love a good story.
