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Senior Data Science Manager

FULLY FLEXIBLE
Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Strong track record leading Data Science or Machine Learning teams, Hands-on experience as a Data Scientist or ML Engineer in a fast-paced tech scale-up environment, Interest in Ranking is desirable but not necessary.

Key responsabilities:

  • Lead the team specializing in search and ranking algorithms, and end-to-end ML solutions
  • Expand ML ops infrastructure and scale the team up over the next years
  • Explore new ML use cases and drive team's focus areas accordingly
Orange Quarter logo
Orange Quarter Human Resources, Staffing & Recruiting Startup https://orange-quarter.com/
11 - 50 Employees
See more Orange Quarter offers

Job description

Logo Jobgether

Your missions

Orange Quarter have partnered up with the world’s leader in language learning to hire a Senior Data Science Manager. They have a platform that is used by millions of people world wide to learn a range of languages, skills and educational topics. They’re experiencing a rapid growth phase currently and as part of this are expanding ' Machine Learning and Data Science team.

#LI-TL1

Industry:
Artificial Intelligence

What to expect:
As a marketplace application, your team work heavily on Search and Ranking algorithms are the core areas your team will work on. Outside of this, your team is responsible for end-to-end ML solutions from start to finish, extending and working on ML ops infrastructure is within this team’s remit. The role is partially ‘hands-on’ at first as the team is small right now, but expect to hire and scale the team up over the next couple of years. You will also get the chance to extend the team’s focus areas into new ML use cases.

Perks:
Full remote policy or the chance to relocate to one of their offices
Great salary and stocks in a company with a realistic prospect of going public in the next few years
Real professional growth. This team will likely grow by several-fold in the next years
An established and mature company culture

Requirements:
Strong track record leading Data Science or Machine Learning teams
Hands on experience as a Data Scientist or ML Engineer in fast paced tech scale up environment
An interest in Ranking is desirable, but prior professional experience isn't necessary
A strong business and product mindset is an absolute must, this is not a research oriented team

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
Check out the description to know which languages are mandatory.

Soft Skills

  • Business Acumen
  • Leadership

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