Data Scientist, Monte Carlo
Data observability platform
Job no longer available
Data observability platform
201-500 employees
Job no longer available
201-500 employees
Company mission
To accelerate the world’s adoption of data by reducing data downtime.
Role
Who you are
- 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
What the job involves
- 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
- Designing and implementing production-grade ML algorithms that delight users
- Leading ML projects from concept to deployment
- Solving complex anomaly detection and prediction challenges
Our take
Dozens of billion dollar companies have emerged with a shared focus on easing the burden on engineering teams constantly battling to guarantee reliability in their products. For example, New Relic revolutionized application observability. In the same way, Monte Carlo is tackling data observability.
The service pulls information from metadata log metrics to help teams understand their data health, and if something breaks the product will send proactive notifications. The product is an off-the-shelf SaaS offering that customers can integrate and customize over time.
The company has won some major clients including big tech companies like Affirm and Intuit, but also JetBlue, PepsiCo, CNN, The New York Times, Asics, Rivian and others from many sectors. Its goal is to help companies reduce data downtime and the time data engineers must spend on tedious data quality tasks.
'Data Observability’ became a point of furore in venture capital in 2022. For example, in the span of one week, just three companies raised more than $400 million between them. Staying at the forefront of this industry is an interesting challenge for Monte Carlo, and it met it in 2024 with product enhancements that include new GenAI capabilities for its platform.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
32% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
May 2022
$135m
SERIES D
Aug 2021
$60m
SERIES C
Total funding: $236m
Company HQ
Dolores Heights, San Francisco, CA
Leadership
Barr Moses
(CEO)Previously VP of Customer Success Operations for Gainsight. Originally trained as a Management Consultant with Bain & Company. Also attended Stanford where they studied Mathematics and Computer Science.
Lior Gavish
(CTO)Previously SVP of Engineering for another tech startup, Barracuda. Also previously worked for PayPal and holds an MBA from Stanford University.
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