Remote Work: Hybrid

Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer’s and partner’s needs and solve their challenges.
Being a part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are a part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve.
You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about – locally and globally.
Come make an impact every day at Zebra.

Data Scientist:

Owns the full data science lifecycle from exploration to model deployment. Defines the scientific and analytical framework for the platform. Mentors junior model engineers and ensures AI initiatives deliver measurable outcomes..

Responsibilities:
Define modeling strategy and experiment frameworks.Lead feature engineering, hypothesis testing, and performance benchmarking.Translate business problems into analytical solutions.Ensure compliance, reproducibility, and explainability in all models.Collaborate cross-functionally with Product, Platform, and FinOps teams.

Skills required:

Expert in Python, SQL, TensorFlow/PyTorch.Strong background in statistics, ML theory, and experiment design.Familiar with cloud data platforms (AWS/GCP/Azure).Excellent communicator; proven record of leading AI research or production systems.
Qualifications:
Preferred Education: Bachelor's or Masters degree in an appropriate engineering discipline required.Preferred Work Experience (years):Bachelors degree and 2+ years or Masters degree with no experience.All Other Regions: Bachelor’s or Master’s degree in an appropriate engineering
discipline requiredPreferred work experience (years): 2+ years experienceDefine modeling strategy and experiment frameworks.Lead feature engineering, hypothesis testing, and performance benchmarking.Translate business problems into analytical solutions.Ensure compliance, reproducibility, and explainability in all models.Collaborate cross-functionally with Product, Platform, and FinOps teams.

Skills required:

Expert in Python, SQL, TensorFlow/PyTorch.Strong background in statistics, ML theory, and experiment design.Familiar with cloud data platforms (AWS/GCP/Azure).Excellent communicator; proven record of leading AI research or production systems.

 

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