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Senior, Data Scientist
Senior, Data ScientistMacy's • New York, NY, United States
Senior, Data Scientist

Senior, Data Scientist

Macy's • New York, NY, United States
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Job Description

  • Execute best-in-class advanced analytics with scalable and reusable codebase and models that solve business problems.
  • Coordinate closely with Sr & Lead 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 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.
  • Support Sr & Lead Data Scientists to build enterprise-wide data assets that will accelerate delivery of new use cases and help train machine learning models.
  • Employer will accept a Master's degree in Computer Science, Computer Engineering, Business Analytics, or related field.

Position Requirements

  • Complex algorithms and analytics methodologies across multiple platforms and languages;
  • Communication with non-technical functions to deliver solutions that support decision making;
  • Core analytical and statistical methods, including regression, segmentation / clustering, predictive modeling, time-series analysis and machine learning techniques;
  • Utilizing programming languages to perform analytical modeling, including Python and SQL;
  • Building and deploying analytical models;
  • Code versioning and managing code base in Git and Gitlab products.
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