Macy's is looking for a Senior Data Scientist to design, develop, and implement advanced data science models for priority business use cases across the enterprise, applying cutting-edge AI techniques to large datasets to drive actionable insights and develop intelligent, scalable AI solutions.
Requirements
- Proficient in complex algorithms and analytics methodologies across multiple platforms and languages, including Google Cloud Platform.
- Strong understanding of core analytical and statistical methods, including regression, segmentation/clustering, predictive modeling, time-series analysis, and machine learning techniques.
- 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.
- Ability to think creatively, strategically, and technically.
- Maintain an up-to-date view on methods being used in the data science community.
Responsibilities
- Execute best-in-class advanced analytics with scalable and reusable codebase and models that solve business problems.
- Coordinate closely with Lead & Principal Data Scientists 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.
- Support the building of predictive models to identify opportunities to provide further support to Business Units.
- Generate high-impact visualizations to communicate findings generated from data.
Other
- Excellent verbal and written communication skills to convey complex information clearly and effectively to executive stakeholders.
- Demonstrates excellent leadership, facilitation, and interpersonal skills, with the ability to work across functional lines and at many levels.
- Ability to think creatively, strategically, and experiment with emerging technologies.
- Practices open and continuous communication, values keeping others informed, effectively presenting information in a clear, concise manner.
- Ability to work a flexible schedule based on department and Company needs.
