Internship, Data Science

Tiffany & Co.
New York, New York, United States
07 Jun 2022
09 Jul 2022
Full Time
Drives innovation and process improvement across Channel Planning teams through various analytical and data science initiatives. Will work with different teams to assess potential gains in regional/central stock policies, assortment planning, product sellthrough, and other planning activities through new business solutions, driven by data. Responsibilities include the development, monitoring, and evaluation of new analytical tools and processes, and their subsequent training and implementation. In addition to new tools and processes, will also assist in the creation of new KPIs and new tools/visualizations to effectively monitor them.

Data Analytics

Drive business solutions through strong application of various machine learning and statistical methods, such as clustering (k-means, KNN), predictive modeling (regressions, time-series analysis, decomposition), data mining/web scraping, and simulation will be used to achieve specific business goals. Business goals include (but not limited to): optimizing global product assortment, predicting new product performance, assessing effectiveness of target stock models, creation of availability KPIs/visualizations, tracking competitors, etc.

Perform strong validation of models/analysis to limit bias and error. Partner with business team to test and implement important findings.

Project Management

Work with technology and business partners to define scope, schedule and methodology for projects based on business needs and user requirements.

Define the short and long term objectives, requirements, and goals for solutions.

Partner with cross-functional teams to facilitate meetings, confirm project status, identify challenges, analyze data, define project scope, lead design sessions, as well as lead project user testing and implementation. Support these actions with project management principles emphasizing Project Definition, Planning and Execution.

Documentation and Training

Create and maintain project-supporting documentation as required as part of process and system redesign efforts, including process flows, procedures, quick reference guides, and testing scripts.

Ensure project documents are complete, current, and stored appropriately.

Support the training of internal users from their functional areas as related to all initiatives. Transfer knowledge and ownership to appropriate business areas.

  • Strong statistical knowledge
  • Excellent communication skills
  • Completed or pursuing degree in data science, business analytics or another similar field
  • Self-driven/autonomous

  • Experience with different Machine Learning methods (relevant coursework is acceptable)
  • Proficiency in Python or R (to support Machine Learning)
  • Data visualization experience (ex: PBI, Tableau)
  • Project management experience (relevant coursework is acceptable)

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