Senior Data Scientist (BigBrain)

Posted 2 Days Ago
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Tel Aviv Yaffo
Hybrid
Senior level
Productivity • Sales • Software
The Work OS that gives everyone the power to build and improve the way their organization runs.
The Role
Seeking a Senior Data Scientist to enhance AI and ML efforts, optimizing marketing, sales, and customer experience through data-driven solutions. Requires collaboration across teams to address real-world challenges.
Summary Generated by Built In

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

Top Skills

Machine Learning
Python
SQL
Statistics

What the Team is Saying

Matthew Burns
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Ruchita
Dipro
Nate
Kyle
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The Company
HQ: New York, NY
3,049 Employees
Year Founded: 2012

What We Do

monday.com is a work operating system that transforms the way teams work together. We’ve created a solution that connects people to workplace processes promoting a culture of transparency & empowerment. We're obsessed with building an excellent product. Our goal is to create a work operating system that people will love to use—one that’s fast, beautiful & responsive.

Why Work With Us

At monday.com we believe in transparency, accountability, and impact. Together, those values have lent themselves to create a strong culture of professional and creative autonomy where every team member is encouraged to share ideas and help bring them to life!

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monday.com Teams

Team
Customer Experience
About our Teams

monday.com Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

monday.com embraces a flexible work environment with our hybrid model!

Typical time on-site: 3 days a week
HQNew York, NY
HQTel Aviv-Yafo, IL
Denver, CO
London, GB
Melbourne, VIC
São Paulo, BR
Sydney, NSW
Warsaw, PL
Learn more

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