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JobsPVH (Calvin Klein, Tommy)

Planners - Talent Pool Registration

PVH (Calvin Klein, Tommy)

Planners - Talent Pool Registration

PVH (Calvin Klein, Tommy)

Amsterdam, NL

·

On-site

·

Full-time

·

2w ago

Design Your Future at PVH

  • Planners
  • Talent Pool Registration

Shape the Future of Fashion With Us!

Retail Planners, Merchandise Planners & Demand Planners — we want to hear from you!

Are you ready for your next career move? Do you see yourself working with one of the biggest brands in fashion? Then join our new global Talent Community, recruiting talent for our global Tommy Hilfiger Planning teams, at HQ in Amsterdam!

Register your interest today to be considered for future roles that match your expertise — you could be one click away from the opportunity of a lifetime. **Even if you have already applied for a role with us before, please re-register your interest! **

Whether you are just starting out or already an expert in your category – we are keen to hear from you.

We will review your application against any suitable roles. When we have an open role, we will be in touch.

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About PVH (Calvin Klein, Tommy)

PVH (Calvin Klein, Tommy)

Famous for its designer underwear and denim lines in the 1980s, specializes in mass-market ready-to-wear clothing for all genders and age groups as...

10,001+

Employees

New York

Headquarters

Reviews

4.3

15 reviews

Work Life Balance

3.7

Compensation

4.9

Culture

4.2

Career

4.6

Management

4.0

84%

Recommend to a Friend

Pros

Working on cutting-edge AI/ML technologies

Strong research and publication culture

Top-tier compensation with excellent equity

Cons

High expectations and pressure to deliver

Ambiguity in rapidly evolving field

Extremely fast-paced with constant changes

Interview Experience

44 interviews

Difficulty

3.9

/ 5

Duration

21-35 weeks

Offer Rate

22%

Experience

Positive 67%

Neutral 21%

Negative 12%

Interview Process

1

Recruiter Screen

2

ML Coding

3

ML System Design

4

Research Discussion

5

Team Interviews

Common Questions

ML fundamentals

Design an ML system

Research paper discussion

Statistical concepts