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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist Lead - **Company:** Bloomingdales.com, LLC - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Adobe Analytics, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, BigQuery, Cloud Computing, Data Cleansing, Data Visualization, Google Analytics, Python (Programming Language), Power BI, SQL Databases, Tableau (Software), Google Cloud, Feature Engineering, Deep Learning, Model Validation, Information Technology, Data Analytics, Machine Learning Operations, Tools for Reporting, Looker Analytics - **Published:** August 4, 2026 - **Apply:** https://ebwh.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1002/requisitions/preview/90317 ## About the Role * 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. ## Description 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., * 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 ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [Making Data Warehouses fast. 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