Data Scientist Lead

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

Job summary

Bloomingdale’s in New York is seeking a Lead Data Scientist to design and implement advanced models across online experiences, marketing, merchandising, and store operations. You will work on feature engineering, deep learning, and AI-enabled services using diverse data types.

The role requires leadership, collaboration with data engineers and analytics partners, and the ability to translate complex analyses into actionable business decisions.

Qualifications

• Master’s degree in data science, engineering, or related field.
• Experience with SQL and Python in large-scale data projects.
• Strong analytic, storytelling with data and visualization skills.

Responsibilities

• Define business problems and translate into data science solutions.
• Lead feature engineering and model development across domains.
• Collaborate with stakeholders to align metrics and KPIs.
• Build real-time and batch ML pipelines with end-to-end validation.
• Coach and mentor team members to improve analytics capabilities.

Skills

SQL

Python

Data science

Machine learning

Leadership

Education

Master’s degree in a relevant field

PhD preferred

Tools

Tableau

Power BI

Looker

BigQuery

Redshift

GCP

AWS

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.

This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Additional benefit details are available at bloomingdalesJOBS.com.