Senior Data Scientist - New York, NY

About the role

This position is located at our New York, NY office with weekly in-office expectations.

Responsibilities

• Design the development of solutions that leverage data sciences & advanced analytics to develop required business solutions.
• Perform deep exploratory analysis on large scale customer data, identify shopping & interaction patterns, discover price elasticity & price sensitivity behaviors and build lifecycle models for targeting customers towards loyalty.
• Build conversational agents to deliver faster insights that drive customer strategy on acquisition, retention & growth.
• Evaluate, recommend, & implement state-of-the-art algorithms and methods.
• Engage & collaborate with business & technology partners.
• Communicate progress to all stakeholders.

Qualifications

• B.S. degree in Computer Science, Mathematics, Statistics
• M.S. or PH.D. in Computer Science, applied mathematics, statistics, physics, operations research, quantitative social sciences or related fields (preferred)
• 6+ years of relevant experience in data scientist roles preferably in retail domain
• Strong understanding of computer technology with strong programming skills
• Expert level proficiency in Python, SQL
• Strong written & verbal communication skills
• Ability to communicate complicated statistical analytical concepts & solutions to business stakeholders in a simplified comprehensible manner
• Excellent presentation skills & ability to shape course of action through persuasion & negotiations
• Collaborate actively with topic owners to understand and develop advanced analytics / data science
• Experience designing algorithms for a relevance system such as marketing, loyalty, etc
• Strong engineering mindset and exposure to software engineering principles, Agile methodologies, distributed systems and applied Machine Learning

Pay

Minimum Salary: $129,700.00
Maximum Salary: $176,820.00

VS&Co provides a range of compensation for this role as shown. Your actual salary will be determined by a number of factors, including: your specific skills and experience, geographic region, or other relevant factors.

Schedule

This position requires weekly in-office expectations.