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:
This Data Scientist will play a key role in deploying AI applications at scale, with a strong focus on MLOps, AI governance best practices, and pricing optimization. You will support ongoing data science initiatives including forecasting, personalization, AI pricing, and Gen AI applications. You will be responsible for developing and deploying robust ML pipelines, collaborating with business and tech teams to scale model impact, and helping define governance frameworks that ensure responsible AI practices.
The successful individual will leverage their proficiency to…
- Partner with local business teams to understand their challenges and translate them into data science questions
- Identify opportunities to deploy AI solutions that enhance customer experience, drive revenue, and increase operational efficiency
- Develop and deploy end-to-end machine learning pipelines
- Drive AI pricing initiatives by supporting elasticity modeling, price optimization, and performance tracking
- Champion MLOps best practices, including CI/CD for ML, version control, monitoring, alerting, and retraining strategies
- Contribute to building an internal AI governance framework covering documentation, reproducibility, fairness, and model lifecycle management
- Localize and operationalize global models to meet regional business needs
- Own local data science projects from ideation to production deployment
- Quantify and communicate the business impact of AI initiatives
- Present technical concepts, modeling choices, and limitations clearly to non-technical stakeholders
The accomplished individual will possess...
- 5+ years of experience as a Data Scientist
- BA/BS in a technical field (e.g., Computer Science, Statistics, Data Science, etc.)
- Solid foundation in machine learning fundamentals and statistical modeling
- Strong proficiency in Python and SQL
- Proven experience in developing and deploying machine learning models
- Familiarity with MLOps concepts and the ability to implement scalable, production-grade ML pipelines
- Understanding of AI governance practices and model monitoring
- Experience working with large datasets to generate actionable business insights
- Comfort working in Agile teams and product development cycles
- Excellent communication and stakeholder management skills in English
Things that would make you stand out...
- Hands-on experience using AWS services for ML development and deployment (e.g., SageMaker, Lambda, Step Functions)
- Experience with MLOps tools such as MLflow, Airflow, etc.
- Involvement in AI pricing, demand forecasting, or revenue optimization use cases
- Exposure to Retail or Luxury industry environments
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. Visit Tapestry, Inc. at http://www.tapestry.com/