Data Scientist Lead

Bloomingdale's • New York, NY

1d • $155,880 - $259,680

About The Position

Bloomingdale’s makes fashion personal and fun, aspirational yet approachable. Our mission is to guide and inspire our customers to make style a source of creative energy in their lives. We will always strive to make Bloomingdale’s like no other store in the world. Across all brand touchpoints—from Bloomingdales.com to our newest small store concept, Bloomie’s—everyone plays a critical role bringing our mission to life. Our inclusive culture promotes diversity of background, thought and opinion. Regardless of position, we believe all colleagues have a voice and access to share their thoughts with every level of leadership. Our colleagues are passionate, driven, entrepreneurial and collaborative, while having a lot of fun along the way.

The Lead, Data Scientist will design, develop, and implement advanced data science models for priority business use cases across the enterprise, such as online experience, marketing, merchandising, supply chain, finance, and store operations. The Lead Data Scientist will work in the areas of feature engineering, deep learning, data insights and analytics. The Lead Data Scientist will build new AI enabled smart services that surprise and delight our customers and work with big data (text, images, audio & other) to solve real-world problems.

Requirements

• Master’s degree required, Ph. D. preferred; engineering, business, finance, data science, computer science, or other relevant fields of study encouraged.
• SQL and Python experience.
• Blend of applied math, data science and engineering skills, proven track record of solving critical business problems through data science and strong analytical/quantitative and engineering skills.
• Ability to think creatively, strategically, and technically to identify data issues and take actions to remediate.
• Familiarity with visualization tools such as Tableau, Power BI or Looker.
• Experience with web reporting tools like Adobe Analytics or Google Analytics.
• Ability to conduct qualitative market research and perform qualitative analysis, identify trends and patterns in the data and tell a compelling story through visualization and presentation.
• Experience in leveraging data cleaning, transformation, analytics and reporting from large data sets to support use cases and drive business value.
• Ability to collaborate and work closely with cross-functional teams - Data Scientists, Data Engineers, Data Analysts, business and solution architects and partners.
• Demonstrated leadership skills.
• Excellent communication skills, especially when it comes to requirements gathering, communicating with stakeholders, and summarizing and presenting analysis.
• This role involves performing essential job functions such as communication, collaboration, and use of office and computer systems. Responsibilities include the ability to access and review written and electronic information, and to move within the work environment and interact with workplace materials as needed to carry out job responsibilities.

Nice To Haves

• Experience with Cloud (GCP, Azure, AWS) and big data processing technologies (Redshift, Big Query) is a plus.

Responsibilities

• Thought leader in data science and analytics who can help the business define their business problem, create solutions to address it, plan and execute the implementation.
• Collaborate with business stakeholders to define business requirements including KPI and acceptance criteria.
• Lead research initiatives into state-of-the-art methodologies that will enhance current models and power future personalized models.
• Collaborate with data engineers, ML engineers and Data Scientists in building real-time and batch machine learning pipelines that include data preprocessing, feature engineering, model training, model validation, serving, and evaluating results of A/B test.
• Promotes efficacy through monitoring, coaching & motivating teammates

What This Job Offers

• Job Type: Full-time
• Career Level: Senior