Senior Data Scientist - Digital + Customer

Macy's-posted 8 months ago

Full-time • Senior

Corpus Christi, TX

General Merchandise Retailers

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Be part of an amazing story. Macy's is more than just a store. We're a story. One that's captured the hearts and minds of America for more than 160 years. A story about innovations and traditions…about inspiring stores and irresistible products…about the excitement of the Macy's 4th of July Fireworks, and the wonder of the Thanksgiving Day Parade. We've been part of memorable moments and milestones for countless customers and colleagues. Those stories are part of what makes this such a special place to work. Job Overview: The Senior Data Scientist designs, develops, and implements advanced data science models for priority business use cases across the enterprise. This role collaborates with cross-functional teams to identify opportunities where data science can add value, applying cutting-edge AI techniques to large datasets to drive actionable insights and develop intelligent, scalable AI solutions.

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.
Work with Data and Solution Architecture teams as required to implement data pipelines and tools to ensure efficient and seamless execution of analytics.
Support Lead & Principal Data Scientists to build enterprise-wide data assets that will accelerate delivery of new use cases and help train machine learning models.
Foster an environment of acceptance and respect that strengthens relationships, and ensures authentic connections with colleagues, customers, and communities.

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.
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.

Experience collaborating with business functions to deliver solutions that support decision making.
Ability to work a flexible schedule based on department and Company needs.
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 Business.

Comprehensive health and wellness coverage.
401(k) match to invest in your future.
Paid time off and eight paid holidays.
Continuous learning and leadership development.
Merchandise discounts.
Performance-based incentives.
Annual merit review.
Employee Assistance Program with mental health counseling and legal/financial advice.
Tuition reimbursement.

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