The Tapestry Machine Learning Engineer interview guide, interview questions, salary data, and interview experiences.

Tapestry Machine Learning Engineer Interview Guide

Getting ready for an Machine Learning Engineer interview at Tapestry? The Tapestry Machine Learning Engineer interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Tapestry Machine Learning Engineer roles.</li>
<li>Gain insights into the Machine Learning Engineer interview process at Tapestry.</li>
<li>Practice real Tapestry Machine Learning Engineer interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Tapestry Machine Learning Engineer interview.


Getting ready for an Machine Learning Engineer interview at Tapestry? The Tapestry Machine Learning Engineer interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Tapestry Machine Learning Engineer roles.
- Gain insights into the Machine Learning Engineer interview process at Tapestry.
- Practice real Tapestry Machine Learning Engineer interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Tapestry Machine Learning Engineer interview.
        

Overview

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Tapestry Machine Learning Engineer Interview Process

Given two dates, write a program to find the number of business days that exist between the date range.

Example:

Input:

<pre tabindex="0" class="chroma"><code>date1 = 2021-01-31
date2 = 2021-02-18
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def delta_buss_days(date1,date2) -&gt; 14
</code></pre>

Business Days

Python & General Programming

How would you design a classifier to predict the optimal moment for a commercial break during a video?

Commercial Break

Machine Learning

Let’s say that you’re working on a job recommendation engine. You have access to all user Linkedin profiles, a list of jobs each user applied to, and answers to questions that the user filled in about their job search.

Using this information, how would you build a job recommendation feed?

What problem can arise in job recommendation systems with regard to initial recommendations?

What problem can arise in job recommendation systems with regard to initial recommendations?

Job Recommendation

Tapestry Machine Learning Engineer Interview Questions

We believe that difference sparks brilliance, so we welcome people and ideas from everywhere to join us in stretching what's possible.

At Tapestry, being true to yourself is core to who we are. When each of us brings our individuality to our collective ambition, our creativity is unleashed. This global house of brands - Coach, Kate Spade New York, Stuart Weitzman - was built by unconventional entrepreneurs and unexpected solutions, so when we say we believe in dreams, we mean we believe in making them happen. We're always on a journey to becoming our best, but you can count on this: Here, your voice is valued, your ambitions are supported, and your work is recognized.

A member of the Tapestry family, we are part of a global house of brands that has unwavering optimism and is committed to being innovative and wholly inclusive.

Primary Purpose

The Data Scientist, Forecasting will play a critical role in developing and maintaining accurate, scalable forecasting solutions that drive strategic and operational decision-making across the organization. This individual will own end-to-end forecasting processes across multiple time horizons, brands, channels, and regions. The ideal candidate will bring expertise in statistical modeling and machine learning, and will partner closely with cross-functional teams to deliver insights and tools that support business growth and efficiency.

Key Responsibilities

Design, develop, and maintain a comprehensive suite of retail forecasts for supply chain, sales, and customer traffic among others.
Build and deploy forecasting models using time series analysis, regression techniques, and machine learning algorithms.
Develop tools and frameworks to enable ad-hoc forecast updates, integrate user feedback, and incorporate outputs from other models.
Scale forecasting methodology and drive increased accuracy and flexibility.
Analyze large-scale datasets to uncover trends, seasonality, and external drivers such as promotions, economic indicators, weather, and competitive activity.
Integrate product lifecycle stages, promotional campaigns, and macroeconomic variables into forecasting models.
Collaborate with stakeholders to understand business objectives and ensure forecasts align with strategic and operational planning needs.
Communicate forecast insights and recommendations effectively to both technical and non-technical audiences, including senior leadership.
Document forecasting methodologies and maintain version control using tools such as Git and Bitbucket; leverage model and feature stores to ensure enterprise-wide accessibility.
Stay informed on industry trends, consumer behavior, and advancements in forecasting methodologies.
Qualifications     Bachelor's degree in Statistics, Economics, Data Science, Applied Mathematics, or a related quantitative field (Master's or PhD preferred).
3-5 years of demonstrated experience in retail forecasting, demand planning, or a similar analytics-focused role.
Proficiency in Python and advanced SQL; experience with forecasting libraries and platforms (e.g., Prophet, scikit-learn).
Familiarity with cloud-based forecasting services (e.g., AWS Forecast) and multi-environment cloud architectures.
Experience with modern Machine Learning Operations and tools for Code, Model and Data versioning and governance.
Strong communication skills with the ability to translate complex analytical concepts for non-technical stakeholders.
Proven ability to thrive in fast-paced, cross-functional environments.
Ability to work with ambiguity and prioritize requests and multiple stakeholders.
Knowledge of retail operations, merchandising, and supply chain processes is a plus.
Our Competencies for All Employees      Courage : Doesn't hold back anything that needs to be said; provides current, direct, complete, and "actionable" positive and corrective feedback to others; lets people know where they stand; faces up to people problems on any person or situation (not including direct reports) quickly and directly; is not afraid to take negative action when necessary.
Creativity : Comes up with a lot of new and unique ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings.
Customer Focus:  Is dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; acts with customers in mind; establishes and maintains effective relationships with customers and gains their trust and respect.
Dealing with Ambiguity : Can effectively cope with change; can shift gears comfortably; can decide and act without having the total picture; isn't upset when things are up in the air; doesn't have to finish things before moving on; can comfortably handle risk and uncertainty.
Drive for Results:  Can be counted on to exceed goals successfully; is constantly and consistently one of the top performers; very bottom-line oriented; steadfastly pushes self and others for results.
Interpersonal Savvy : Relates well to all kinds of people, up, down, and sideways, inside and outside the organization; builds appropriate rapport; builds constructive and effective relationships; uses diplomacy and tact; can diffuse even high-tension situations comfortably.
Learning on the Fly:  Learns quickly when facing new problems; a relentless and versatile learner; open to change; analyzes both successes and failures for clues to improvement; experiments and will try anything to find solutions; enjoys the challenge of unfamiliar tasks; quickly grasps the essence and the underlying structure of anything.
Our Competencies for All People Managers      Strategic Agility : Sees ahead clearly; can anticipate future consequences and trends accurately; has broad knowledge and perspective; is future oriented; can articulately paint credible pictures and visions of possibilities and likelihoods; can create competitive and breakthrough strategies and plans.
Developing Direct Reports and Others : Provides challenging and stretching tasks and assignments; holds frequent development discussions; is aware of each person's career goals; constructs compelling development plans and executes them; pushes people to accept developmental moves; will take on those who need help and further development; cooperates with the developmental system in the organization; is a people builder.
Building Effective Teams : Blends people into teams when needed; creates strong morale
and spirit in his/her team; shares wins and successes; fosters open dialogue; lets people finish and be responsible for their work; defines success in terms of the whole team; creates a feeling of belonging in the team.

Tapestry, Inc. is an equal opportunity and affirmative action employer and we pride ourselves on hiring and developing the best people. All employment decisions (including recruitment, hiring, promotion, compensation, transfer, training, discipline and termination) are based on the applicant's or employee's qualifications as they relate to the requirements of the position under consideration. These decisions are made without regard to age, sex, sexual orientation, gender identity, genetic characteristics, race, color, creed, religion, ethnicity, national origin, alienage, citizenship, disability, marital status, military status, pregnancy, or any other legally-recognized protected basis prohibited by applicable law.

Americans with Disabilities Act (ADA)

Tapestry, Inc. will provide applicants and employees with reasonable accommodation for disabilities or religious beliefs. If you require reasonable accommodation to complete the application process, please contact Tapestry People Services at 1-855-566-9264 or employeerelations@tapestry.com

Visit Tapestry, Inc. at http://www.tapestry.com/

Work Setup: HYBRID

#LI-HYBRID

BASE PAY RANGE    $130,000.00    TO    $145,000.00
Here are some of the benefits that we offer: Medical insurance, Dental insurance, Vision insurance, 401 (K), Paid Paternity and Maternity leave, Commuter Benefits, Disability insurance and Tuition assistance. Please click here for a complete list of U.S Corporate Compensation & Benefits.

Req ID: 121007

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Data Scientist, Forecasting  Tapestry
New York, NY, US
We believe that difference sparks brilliance, so we welcome people and ideas from everywhere to join us in stretching what’s possible.
At Tapestry, being true to yourself is core to who we are. When each of us brings our individuality to our collective ambition, our creativity is unleashed. This global house of brands – Coach, Kate Spade New York, Stuart Weitzman – was built by unconventional entrepreneurs and unexpected solutions, so when we say we believe in dreams, we mean we believe in making them happen. We’re always on a journey to becoming our best, but you can count on this: Here, your voice is valued, your ambitions are supported, and your work is recognized.
A member of the Tapestry family, we are part of a global house of brands that has unwavering optimism and is committed to being innovative and wholly inclusive.
Primary Purpose
The Data Scientist, Forecasting will play a critical role in developing and maintaining accurate, scalable forecasting solutions that drive strategic and operational decision-making across the organization. This individual will own end-to-end forecasting processes across multiple time horizons, brands, channels, and regions. The ideal candidate will bring expertise in statistical modeling and machine learning, and will partner closely with cross-functional teams to deliver insights and tools that support business growth and efficiency.
Key Responsibilities
Design, develop, and maintain a comprehensive suite of retail forecasts for supply chain, sales, and customer traffic among others.
Build and deploy forecasting models using time series analysis, regression techniques, and machine learning algorithms.
Develop tools and frameworks to enable ad-hoc forecast updates, integrate user feedback, and incorporate outputs from other models.
Scale forecasting methodology and drive increased accuracy and flexibility.
Analyze large-scale datasets to uncover trends, seasonality, and external drivers such as promotions, economic indicators, weather, and competitive activity.
Integrate product lifecycle stages, promotional campaigns, and macroeconomic variables into forecasting models.
Collaborate with stakeholders to understand business objectives and ensure forecasts align with strategic and operational planning needs.
Communicate forecast insights and recommendations effectively to both technical and non-technical audiences, including senior leadership.
Document forecasting methodologies and maintain version control using tools such as Git and Bitbucket; leverage model and feature stores to ensure enterprise-wide accessibility.
Stay informed on industry trends, consumer behavior, and advancements in forecasting methodologies.
Qualifications
Bachelor’s degree in Statistics, Economics, Data Science, Applied Mathematics, or a related quantitative field (Master’s or PhD preferred).
3-5 years of demonstrated experience in retail forecasting, demand planning, or a similar analytics-focused role.
Proficiency in Python and advanced SQL; experience with forecasting libraries and platforms (e.g., Prophet, scikit-learn).
Familiarity with cloud-based forecasting services (e.g., AWS Forecast) and multi-environment cloud architectures.
Experience with modern Machine Learning Operations and tools for Code, Model and Data versioning and governance.
Strong communication skills with the ability to translate complex analytical concepts for non-technical stakeholders.
Proven ability to thrive in fast-paced, cross-functional environments.
Ability to work with ambiguity and prioritize requests and multiple stakeholders.
Knowledge of retail operations, merchandising, and supply chain processes is a plus.
Our Competencies for All Employees
Courage : Doesn’t hold back anything that needs to be said; provides current, direct, complete, and “actionable” positive and corrective feedback to others; lets people know where they stand; faces up to people problems on any person or situation (not including direct reports) quickly and directly; is not afraid to take negative action when necessary.
Creativity : Comes up with a lot of new and unique ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings.
Customer Focus:  Is dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; acts with customers in mind; establishes and maintains effective relationships with customers and gains their trust and respect.
Dealing with Ambiguity : Can effectively cope with change; can shift gears comfortably; can decide and act without having the total picture; isn’t upset when things are up in the air; doesn’t have to finish things before moving on; can comfortably handle risk and uncertainty.
Drive for Results:  Can be counted on to exceed goals successfully; is constantly and consistently one of the top performers; very bottom-line oriented; steadfastly pushes self and others for results.
Interpersonal Savvy : Relates well to all kinds of people, up, down, and sideways, inside and outside the organization; builds appropriate rapport; builds constructive and effective relationships; uses diplomacy and tact; can diffuse even high-tension situations comfortably.
Learning on the Fly:  Learns quickly when facing new problems; a relentless and versatile learner; open to change; analyzes both successes and failures for clues to improvement; experiments and will try anything to find solutions; enjoys the challenge of unfamiliar tasks; quickly grasps the essence and the underlying structure of anything.
Our Competencies for All People Managers
Strategic Agility : Sees ahead clearly; can anticipate future consequences and trends accurately; has broad knowledge and perspective; is future oriented; can articulately paint credible pictures and visions of possibilities and likelihoods; can create competitive and breakthrough strategies and plans.
Developing Direct Reports and Others : Provides challenging and stretching tasks and assignments; holds frequent development discussions; is aware of each person’s career goals; constructs compelling development plans and executes them; pushes people to accept developmental moves; will take on those who need help and further development; cooperates with the developmental system in the organization; is a people builder.
Building Effective Teams : Blends people into teams when needed; creates strong morale
and spirit in his/her team; shares wins and successes; fosters open dialogue; lets people finish and be responsible for their work; defines success in terms of the whole team; creates a feeling of belonging in the team.
Tapestry, Inc. is an equal opportunity and affirmative action employer and we pride ourselves on hiring and developing the best people. All employment decisions (including recruitment, hiring, promotion, compensation, transfer, training, discipline and termination) are based on the applicant’s or employee’s qualifications as they relate to the requirements of the position under consideration. These decisions are made without regard to age, sex, sexual orientation, gender identity, genetic characteristics, race, color, creed, religion, ethnicity, national origin, alienage, citizenship, disability, marital status, military status, pregnancy, or any other legally-recognized protected basis prohibited by applicable law.
Americans with Disabilities Act (ADA)

Tapestry, Inc. will provide applicants and employees with reasonable accommodation for disabilities or religious beliefs. If you require reasonable accommodation to complete the application process, please contact Tapestry People Services at 1-855-566-9264 or employeerelations@tapestry.com

Nearest Major Market:  Manhattan
Nearest Secondary Market:  New York City
Job Segment:  Supply Chain, Demand Planner, Retail Sales, Outside Sales, Merchandising, Operations, Retail, Sales

#J-18808-Ljbffr

Question	Topic	Difficulty	Ask Chance
Business Days	Python & General Programming	Easy	Very High
Commercial Break	Machine Learning	Hard	Very High
Job Recommendation	Machine Learning	Hard	High

Tapestry Machine Learning Engineer Interview Guide

Overview

Tapestry Machine Learning Engineer Interview Process

Tapestry Machine Learning Engineer Interview Questions

Tapestry Machine Learning Engineer Jobs