Take the helm of one of the world's most iconic brands, and bring it to life for customers around the globe. As part of Bloomingdale's marketing team, you'll own, guide, and create a marketing experience like no other. You'll innovate, drive customer engagement and own the Bloomingdale's brand. As part of our creative team, you'll bring our iconic brand to life. From copywriting to graphic design - Bloomingdale's is your destination for amazing opportunities.
As the Manager of Data Science & Analytics, you will provide in-depth statistical modeling, machine learning and analysis of business results and consumer behavior to improve sales, profitability and customer value. Your responsibilities include conduct customer behavior analysis, develop machine learning models and segmentation strategy, and develop optimal customer contact strategy. Perform other duties as assigned.
Assume leadership role of all digital marketing and customer analytics.
Manage team of two data scientists.
Collaborate with the marketing disciplines (email, direct mail, search, affiliates, social, paid media, loyalty) to inform strategy and implementation.
Develop statistical models to predict response rate and sales that will improve efficiency of marketing programs.
Conduct segmentation analysis for targeting and messaging to our customer.
Identify strategic Omni trends and actionable customer insights based on a clear understanding of business objectives - retention, acquisition, purchase frequency, cross-shopping, profitability, etc.
Identify purchase patterns and trends through test and analysis, such as Market Basket Analysis, Optimal contact strategy, etc.
Conduct analysis on customer lifetime values.
Develop optimal contact strategy across digital channel.
Develop advanced recommendation system to offer customized recommendations to our customers.
Analyze multi-channel results of online programs and customer behavior.
Consistently demonstrates regular, dependable attendance & punctuality.
MA/MS degree, in Mathematics, Statistics, Economics or related fields or PhD. preferred.
Minimum 5 years of related work experience in Database Marketing and Analytics.
Must have extensive experience in data analysis.
Prior people management experience required.
Experience working with large data sets and distributed computing tools such as Hadoop, Map/Reduce, Hive, etc.
Excellent data interpretation and communication skills;
Ability to summarize complex findings clearly and concisely;
Ability to communicate effectively to all levels of management;
Strong written and verbal communication skills.
Self-motivated, proactive, disciplined, fast learner and organized.
Strong conceptual/analytical/creative thinker.
Strong data interpretation; ability to summarize complex findings clearly and concisely.
Strong organizational and time management skills; ability to adhere to deadlines.
This position involves regular walking, standing, hearing, and talking.
May occasionally involve stooping, kneeling, or crouching.
Involves close vision, color vision, depth perception, and focus adjustment.
Expert skills in writing complex SQL queries to analyze and manipulate data, investigate data problems.
Expert knowledge of analytical tools such as R, Python.
Expert knowledge in working HDInsight, Azure, Pyspark, H20 and Tensor flow.
Knowledge in deep learning models is a plus.
Highly flexible and adapts well to a rapidly changing environment.
Must be detail-oriented
This job description is not all inclusive. Macy's Inc. reserves the right to amend this job description at any time. Macy's Inc. is an Equal Opportunity Employer, committed to a diverse and inclusive work environment.
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