About Monte Carlo
As businesses increasingly rely on data to power digital products and drive better decision-making, it's mission-critical that this data is accurate and reliable. Monte Carlo, the data reliability company, is the creator of the industry's first end-to-end Data Observability platform. Named an Inc. Best Workplace for 2024, a DBTA Readers Choice for Best Data Observability Solution for 2024, a G2 Best Product for 2023, and the "New Relic for data" by Forbes, we've raised $236M from Accel, ICONIQ Growth, GGV Capital, Redpoint Ventures, IVP, and Salesforce Ventures. Monte Carlo works with data-driven companies like Fox, Pepsico, Amazon, American Airlines, and other leading enterprises to help them achieve trust in data.
Monte Carlo is on the lookout for a Sr. Data Scientist who's ready to take the lead in building our next-generation Machine Learning capabilities. This is a high-impact role where you'll work on challenging and exciting projects that directly shape the future of data reliability. You'll get to collaborate with a tight-knit team of expert data scientists and engineers in a dynamic startup environment, where your ideas can turn into reality-fast.
What You'll Be Doing:
- Building production-grade ML algorithms that make a real difference to our users
- Leading ML projects from initial concept to full deployment
- Tackling complex anomaly detection and prediction problems with creativity and precision
Why We're Excited About You:
- You've got 5+ years of experience delivering ML algorithms to production-no challenge is too big for you!
- Python and SQL are like second nature to you.
- You have a sense of urgency and an ownership mindset that thrives in fast-paced environments.
- Expertise in time-series analysis, anomaly detection, and unsupervised methods makes you stand out.
- Experience in data product-focused companies is a huge plus.
- You're no stranger to the excitement (and sometimes chaos!) of working in an early-stage startup.
Location: Anywhere in the US-fully remote!
#LI-REMOTE
#BI-REMOTE
Come As You Are
Equality is a core tenet of Monte Carlo's culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences.
Monte Carlo is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
We are proud to be recognized for our world-class employee experience:
Monte Carlo Named to American's Most Loved Workplace List 2024
Monte Carlo Named an Inc. Best Workplace for 2024
Monte Carlo Named A Top 20 ORG For Venture Capital Funded Companies, Spring 2024
Monte Carlo Named A Top 5 ORG in San Francisco, Spring 2024
Top Skills
What the Team is Saying
What We Do
As businesses increasingly rely on data to power digital products and drive better decision-making, it’s mission-critical that this data is accurate and reliable. Monte Carlo, the data reliability company, is the creator of the industry's first end-to-end Data Observability platform. Named an Enterprise Tech 30 company in 2021 and 2022, a 2021 IDC Innovator, an Inc. Best Place Workplace for 2021 and 2022, and a "New Relic for data" by Forbes, we've raised $236M from Accel, ICONIQ Growth, GGV Capital, Redpoint Ventures, IVP, and Salesforce Ventures. Monte Carlo works with data-driven companies like Fox, PagerDuty, CreditKarma, and other leading enterprises to help them achieve trust in data.
Why Work With Us
At Monte Carlo we believe in building our company around great talent, not the other way around. That's why we're a remote-first organization by choice.
We work fast. We solve big problems. And we have a great time doing it.
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Monte Carlo Offices
Remote Workspace
Employees work remotely.
