Data Analyst at Uber - ML
Shape the future as a Data Analyst position at Uber, based in Amsterdam. See if this role is the right fit for you.
Are you ready to take your career to the next level? Uber is hiring a Data Scientist. This position is based in Dublin, offering a collaborative in-person work environment.
Uber operates a mobility platform connecting riders with drivers, food delivery through Uber Eats, and freight logistics, operating in over 10,000 cities worldwide.
As a Data Scientist at Uber - Remote at Uber, you will collect, clean, and analyse large datasets to support business decision-making while contributing to the team's objectives and broader company goals.
Uber is based in Dublin, and this role is expected to work from the office. This provides opportunities for face-to-face collaboration, mentorship, and team building. Specific work arrangements are discussed during the interview process.
You will join a team of 17 professionals working on data analyst projects. The team collaborates with cross-functional partners to deliver projects on time and maintain high standards of work.
Benefits vary by location, employment type, and individual circumstances. Review the full job posting for complete details.
Uber supports professional growth through mentorship, learning budgets, and defined career paths. Team members are encouraged to develop new skills and take on increasing responsibility over time.
This position is based in Dublin. Candidates should be based in or willing to relocate to the specified location. Our office provides a collaborative environment with modern amenities.
If you are ready to make an impact at Uber, we encourage you to apply. Submit your application through the link below and a member of the recruitment team will be in touch. We review applications on a rolling basis and aim to respond within 5 business days.
This Data Scientist role at Uber is based on-site in Dublin.
The salary range for this position is EUR 101,418 - 101,418 per year, depending on experience.
Uber is looking for candidates with relevant experience and skills matching the requirements listed above. Entry-level and experienced candidates are both encouraged to apply where indicated.
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