Sr. Data Scientist Tory Burch
New York, NY

Job Description

About UsTory Burch is an American lifestyle brand that embodies the personal style and sensibility of its Executive Chairman, Tory Burch. The collection, known for color, print and eclectic details, includes ready-to-wear, shoes, handbags, accessories, home and beauty. Art, music, travel, interiors and the designer's own stylish parents are inspirations for the collection. Our company launched in February 2004 with a single boutique on what was then a remote street in downtown Manhattan. Today, we are a global brand with a presence in more than 50 countries, but in many ways we are only just beginning. There is so much we want to do! Brand integrity, global inspiration and beautiful products are integral to who we are as a company and what we have accomplished to date. Our incredible team is an equally important part of the equation. We believe that each of our employees play a vital role in our continuing efforts to grow and evolve. Responsibilities

* Translate complex business problems and solutions to all levels of the organization through analysis of customer data
* Develop and deliver high-impact dashboard and insights comprised of aggregated data sets and advanced algorithms with a clean user experience
* Create, implement, and refine core marketing measurement frameworks and models, including purchase pathing, attribution, churn, CLV, return on investment, experiment methodology, and segmentation
* Partner with Customer Insights and IT teams to design and implement new data sets and refine existing data sources
* Participate in UAT to ensure accuracy of customer attributes across internal systems
* Manage multiple priorities across a mix of ad-hoc and operational projects

Qualifications

* 5+ years of experience in Data Science, advanced analytics or similar experience in applying statistical methods and machine learning techniques with high levels of proficiency
* Advanced Degree (Master's or PhD) with a specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or other quantitative field or equivalent
* Mastery of SQL, R/Python, and other scripting/automation techniques
* Experience with Hadoop, specifically Cloudera, required
* Experience with Tableau, or other data visualization software required
* Previous reporting tools experience: Microstrategy or other BI tools
* Knowledge of relational databases

Desired Attributes

* Expert in sophisticated analyses and regularly use advanced statistical methods in your work
* Strong understanding of KPIs/metrics/attributes related to direct-to-consumer data
* Proficiency in requirements gathering and strong documentation skills
* Actively try new approaches to advance your technical skills.
* Strong verbal and written communication and interpersonal skills, demonstrated through collaboration with cross-functional teams
* Committed to working in a fast-paced and highly-collaborative environment
* Knowledge of customer master data management and data quality best practices
* Retail/Ecommerce Background