Bloomingdale's Data Scientist Lead

Bloomingdale's; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

Bloomingdale's in New York City is seeking a Lead Data Scientist to design, develop, and implement advanced models for priority business use cases across the enterprise, including online experience, marketing, merchandising, supply chain, finance, and store operations.

You will work with big data (text, images, audio) to build AI-enabled smart services, lead feature engineering, deep learning, analytics, and collaborate with data engineers, ML engineers, and data scientists to deploy real-time

Qualifications

• Master's degree required; Ph.D. preferred in engineering, business, finance, data science, computer science, or related fields.
• SQL and Python experience.
• Blend of applied math, data science and engineering skills, solving critical business problems through data science.
• Ability to think creatively, strategically, and technically to identify data issues and 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 tell a story through visualization.
• Experience with cleaning, transforming, analytics and reporting from large data sets.
• Cloud (GCP, Azure, AWS) and big data processing technologies (Redshift, BigQuery) is a plus.
• Ability to collaborate with cross-functional teams – Data Scientists, Data Engineers, Data Analysts, architects, and partners.
• Demonstrated leadership and excellent communication skills.
• Ability to perform essential job functions and work with information and workplace materials.

Responsibilities

• Thought leader in data science and analytics to define business problems and implement solutions.
• Collaborate with stakeholders to define business requirements, KPIs and acceptance criteria.
• Lead research into state-of-the-art methodologies to enhance models and future personalized models.
• Build real-time and batch ML pipelines with data preprocessing, feature engineering, model training, validation and evaluation (A/B).
• Promote efficacy through monitoring, coaching and motivating teammates.

Skills

SQL

Python

Applied math

Data science

Engineering

Leadership

Communication

Collaboration

Tableau

Power BI

Looker

Adobe Analytics

Google Analytics

Education

Master's degree

Ph.D. preferred

Tools

Tableau

Power BI

Looker

Adobe Analytics

Google Analytics

Redshift

BigQuery

AWS

GCP

Azure

Job description

About

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.

Job Overview

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.

Essential Functions

• 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.
• Leadership: Promotes efficacy through monitoring, coaching & motivating teammates

Qualifications and Competencies

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

This job description is not all inclusive; additionally, Macy's, Inc. reserves the right to amend this job description at any time. Macy's, Inc. - including Macy's, Bloomingdale's, and Bluemercury - is an equal opportunity employer, committed to a diverse and inclusive work environment.