Location NEW YORK , New York
, United States
Job Opened September 15th, 2020
Education Bachelor's Degree
Job Number 20000347
Job Type Full Time
What This Position is All About:
Reporting to the Manager, Analytics, the incumbent will primarily focus on driving business results through development and execution of world class analytics to meet evolving business needs. He/she will be HBC’s analytics thought leader and focus on developing new programs and optimizing existing personalization tactics across website, email, Mobile site, app and stores.
Who You Are:
Understand business problems and identify analytic needs including machine learning algorithms suitable for solving said problem
Work collaboratively with other team members to define the advanced analytical modeling capabilities, enhancements and outcomes required to enable marketing & personalization use cases
Perform data engineering tasks required for machine learning use case using PySpark/SQL to aggregate, transform, and check multiple data sources into a centralized repository on AWS
Build, maintain and improve machine learning models to perform at scale in a production ready environment
Develop new features and augment tools based on business requirements
Build and maintain clear record of data hierarchy / lineage, to support best-in-class database management and model building
Work collaboratively with the Data Architects, Data Scientists, and other members of the Analytics team to design and build all necessary data pipelines and support other efforts required for the personalization vision
Work with other members of the Personalization Data, Analytics, and Tech teams to peer review code, write unit tests, and provide feedback on data structuring and modeling approaches
Design the test and learn / measurement approaches and techniques for newly deployed use cases
Be a SME of all data sources such as browse, all channel transactions, product, market research, credit, loyalty and 3rd party data to drive efficiencies, maximize profitability, drive customer loyalty, and optimize promotional strategies.
Participate in the strategic development of system capabilities within advanced analytics and modeling, data mining and database marketing
You also Have:
3+ years structuring databases and manipulating large data sets
2+ years writing code in relevant languages (e.g. Python, Hive, SQL, Java or Scala)
1 to 3 years of experience in marketing analytics and database marketing.
1 to 2 years of experience in supporting personalization strategies for an e-commerce industry. Retail experience preferred.
Bachelor's degree required; preferably in Business, Marketing or a quantitative field like Economics, Mathematics or Statistics
Strong Microsoft Excel skills. Ability to code macros in VBA a plus.
Proven ability to apply findings to business problems to lift revenue and profits.
Knowledge of web analytics packages (e.g. Omniture, Coremetrics or Google Analytics).
As The Data Scientist, You will:
Demonstrated critical thinking and problem-solving skills, leveraging data and working side-by-side with business owners to answer business questions
Prior experience building complex machine learning models
Knowledge of relevant languages/toolse.g. advanced Python(pandas, numpy, sklearn, scipy, statsmodels), SQL (analytic functions, subqueries, etc), Spark (inclMLlib)-using pySpark & Spark SQL, Git & Github, AWS EMR, Airflow, AWS SageMaker, Dataiku or similar platforms
Ability to apply the following modeling approaches / classes of algorithms to business problems e.g. regressions, K Nearest Neighbors, Random Forest, GBM, Neural Networks, boosted trees, LDA, collaborative filtering, Bayesian
Advanced knowledge of model evaluation, tuning, and performance; familiarity with machine learning, mathematical, and statistical packages
Experience with A/B statistical inference testing, design of experiments, and standardization techniques
Experience working side-by-side with business owners, and translating business needs across disciplines into advanced analytics projects with measurable business impact
Thank you for your interest with HBC. We look forward to reviewing your application.
HBC provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, HBC complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
HBC welcomes all applicants for this position. Should you be individually selected to participate in an assessment or selection process, accommodations are available upon request in relation to the materials or processes to be used.