Lead, Data Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Macy's, Inc is building an Enterprise Data & Analytics team to further grow our capabilities in support of our mission to be a data-led, customer-centric company. This team will focus on accelerating impact from analytics, coordinating an enterprise-wide roadmap, and ensuring proper data governance and management. As a colleague on this team, the Lead, Data Scientist will help lead the charge to execute on our vision to build profitable lifetime customer relationships by embedding data & analytics at the heart of everything we do.

Job Overview:

The Lead, Data Scientist will design, develop and implement advanced analytics models and applications for priority business use cases and machine learning solutions that drive decision making in a fast-changing retail environment. The Lead, Data Scientist will apply cutting edge data science techniques to large amounts of data to provide actionable insights and solutions for business leaders.

Essential Functions:

Analytics

• Execute best-in-class advanced analytics with scalable and reusable codebase and models that solve business problems
• Coordinate closely with Business Unit counterparts to generate and test hypotheses that align with priority use cases
• Comply with analytics standards, including guidelines for tailoring analytics methodologies to specific use case needs (e.g., ML, AI, descriptive analytics)
• Define batch or real-time streaming data needs, evaluate data quality, and extract/manipulate data in a Big Data environment
• Define internal and external data needs, quality measures and suitability for use
• Build predictive models to identify opportunities to provide further support to Business Units
• Generate high impact visualizations to communication findings generated from data
• Work with Data and Solution Architecture teams as required to implement data pipelines and tools to ensure efficient and seamless execution of analytics
• Collaborate with Data Engineering teams to build enterprise-wide data assets that will accelerate delivery of new use cases and help train machine learning models
• Collaborate with Tech teams during scale-up and roll-out of analytics applications

Culture

• Community builder to foster data and analytics culture and to support data-driven thinking and discussions across priority analytics use case
• Embody data-driven culture at Macy's
• Provide support for business users to leverage insights and provide high value impact
• Maintain an up-to-date view on methods being used in the data science community
• Bolster awareness, knowledge and conviction around data-driven practices and behaviors, increasing digital IQ of BUs
• Be agile in identifying data issues and taking action to remediate

Key Performance Indicators

• Development and deployment of algorithms and methodologies for analytics use cases
• Consistent application of coding and methodology best practices
• Metrics that measure the models' effectiveness in meeting business goals

Qualifications:

• Master’s Degree required, PhD preferred
• 5-8 years of relevant work experience
• Data scientist fluent in complex algorithms and analytics methodologies across multiple platforms and languages, including Google Cloud Platform
• Analytics expert with experience collaborating with business functions to deliver solutions that support decision making
• Understanding of core analytical and statistical methods, including regression, segmentation/clustering, predictive modeling, time-series analysis and machine learning techniques
• Excellent written and verbal communication skills with ability to read, write and interpret business and technical documents