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Data Science Group Lead

unlimited holidays - extra holidays - extra parental leave
Remote: 
Hybrid
Contract: 
Experience: 
Senior (5-10 years)
Work from: 
Tel Aviv (IL)

Offer summary

Qualifications:

5+ years in data science, machine learning, and AI, Experience managing data science and AI group.

Key responsabilities:

  • Lead machine learning and AI domains in BigBrain
  • Recruit top talent establish best practices
  • Drive ML initiatives from ideation to execution
  • Identify opportunities aligning with company goals
  • Manage diverse portfolio of ML models
monday.com logo
monday.com Large https://www.monday.com/
1001 - 5000 Employees
See more monday.com offers

Job description

Description

monday.com is looking for a seasoned, impact-oriented Data Science Group Lead to join BigBrain and lead our Data Science & AI strategy, vision, and execution. 


At monday.com, we are committed to unlocking the power of data to revolutionize work culture. BigBrain provides proactive tools that drive effective, transparent, data-driven, and efficient work, propelling organizational scale and success. (See more on BigBrain here)


To be successful in this role you will need to be impact-driven, strategic, creative, curious, and business savvy. This role involves leading and growing the data science org and advancing our machine learning models and AI efforts across domains and problem spaces to empower our marketing, sales, product, and customer experience organizations to scale with data and technology.

This is a key leadership role at the heart of our technology which significantly impacts all aspects of the business. The role is in our headquarters in Tel Aviv.


See some more on BigBrain here:

https://www.youtube.com/watch?v=YyIq9Wiv_J0

https://engineering.monday.com/meet-the-geniuses-behind-our-bi-tool-bigbrain/

https://pod.link/1595260676/episode/fa4d99bbf8e536e7a139a1ba679692f0


About The Role

  • Managing the Machine Learning and AI domains within the BigBrain group, working closely with highly capable teams of developers, analysts, and product managers.
  • Actively scale the group by recruiting top talent, mentoring managers, and establishing best practices and efficient processes.
  • Own the full cycle of machine learning and AI initiatives from ideation to execution, focusing on impact and continuous delivery connecting the models and science to business value 
  • Identify and analyze a wide range of inputs to pinpoint opportunities that align with company goals, transforming complex business & product challenges into actionable data science initiatives.
  • Oversee and manage a diverse portfolio of machine-learning models, balancing short-term gains with long-term innovative projects to maximize business value.

Requirements

  • 5+ years of hands-on experience in data science, machine learning, and AI preferably in a hyper-growth environment.
  • 5+ years of experience managing a data science and AI group, with a proven track record in a similar growth-oriented company.
  • Master’s or PhD in Data Science, Physics, Statistics, Math, Computer Science, Industrial Engineering, or a related quantitative field. 
  • Demonstrated capability in managing diverse stakeholders across the organization and driving multiple projects simultaneously.
  • A Leader who thrives working in a fast-paced environment.
  • Strong experience in leading end-to-end production-grade ML projects that address complex business and product issues.
  • Excellent SQL and Python skills, with a flair for crafting optimized data processing and machine learning pipelines.
  • Exceptional communication and collaboration skills, strong business acumen, and a team-oriented approach.
  • Team player, strong communication skills & business acumen

Social Title

Data Science Group Lead


Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Business Acumen
  • Strategic Thinking
  • Open Mindset
  • Verbal Communication Skills
  • Teamwork
  • Creativity
  • Curiosity
  • Leadership

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