We are monday.com, a global software company transforming how businesses run. Our product suite can adapt to the needs of diverse industries and use cases within one powerful platform, empowering ~300,000 customers worldwide to reimagine how work gets done, drive greater efficiency, and scale like never before.
With over 3,000 employees across the globe, we grow by prioritizing transparency and knowledge sharing. We care about the impact you make, not the hours you clock, so we encourage initiative, ownership, and fresh thinking. We back our people with flexible work, wellness and mental health support, and a work environment built on collaboration.
We are seeking an experienced, creative, and impact-driven Data Scientist to join our BigBrain team!
The Data Science group at BigBrain partners closely with teams across monday.com to drive key company KPIs and help achieve our most ambitious goals. As a Data Scientist, you’ll lead the ML and AI efforts behind your projects, empowering our marketing, sales, product, and customer experience teams with smart, data-driven solutions. You’ll join a multidisciplinary group that includes developers, data engineers, analysts, and product managers, all working together to create a meaningful impact for our users.
You will be exposed to real-world challenges such as: marketing budget optimization, building co-pilots and intelligent assistants for internal teams, predicting customer intents and lifetime value, delivering personalized recommendations to improve product discovery, enhancing the CX experience with predictive insights and automated replies, and much more.
See some more on BigBrain here:
https://www.youtube.com/watch?v=x-m0ag0cty0
https://engineering.monday.com/meet-the-geniuses-behind-our-bi-tool-bigbrain/
- 5+ years of hands-on proven experience in Data Science and Machine Learning, ideally in a hyper-growth or fast-paced environment
- MSc (or higher) in a quantitative field such as Data Science, Computer Science, Statistics, Physics, Mathematics, or Industrial Engineering
- Strong foundations in Machine Learning and Statistics, with proven ability to implement production-grade models
- Proficient in Python and SQL, with hands-on experience using open-source ML libraries and frameworks
- Demonstrated ability to translate business problems into scalable ML solutions
- Excellent communication and collaboration skills, with a strong business orientation
- Clear balance of short-term delivery and long-term thinking, able to prioritize impact and execution
- Fast learner, independent, and resourceful, with a strong drive to experiment and innovate
- Experience applying data science to marketing performance or monetization use cases is a plus
#LI-DNI
Top Skills
monday.com Denver, Colorado, USA Office
1550 Market St, Denver, CO, United States, 80202
Similar Jobs at monday.com
What you need to know about the Colorado Tech Scene
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

