Data Scientist

Posted 8 Hours Ago
Be an Early Applicant
Remote
5-7 Years Experience
Big Data • Cloud • Software • Big Data Analytics
Monte Carlo is building the Data Observability category to accelerate the adoption of data.
The Role
The Data Scientist will lead the development of next-generation ML capabilities, focusing on designing and implementing production-grade ML algorithms, tackling complex anomaly detection and prediction challenges, and collaborating with a team of experts in a dynamic environment.
Summary Generated by Built In

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 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.
Location: Anywhere in the US-fully remote!
Here's what you'll be doing:

  • Designing and implementing production-grade ML algorithms that delight users
  • Leading ML projects from concept to deployment
  • Solving complex anomaly detection and prediction challenges


We're excited about you because you have:

  • 5+ years of experience delivering ML algorithms to production
  • Expertise in time-series analysis and anomaly detection
  • Proficiency in Python and SQL
  • Previous experience working with data products/solutions highly preferred.
  • Demonstrated track record in an early stage company or highly ambiguous environment
  • A sense of urgency, ownership mindset, and keen product intuition


#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

Python

What the Team is Saying

Mike Ebbers
Xuanzi Han
Helena Munoz
Cassie Quan
Tim Osborn
The Company
San Francisco, CA
165 Employees
Remote Workplace
Year Founded: 2019

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.

Typical time on-site: None
San Francisco, CA

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