<span>Principal – Data Science Architect</span>

$182,400 - $247,000/Yr

Albertsons - Pleasanton, CA

Full-time - Principal

Remote - Pleasanton, CA

10,001+ employees

Food and Beverage Retailers

About the position

The Principal Data Science Architect will serve as a key technical leader responsible for designing and implementing the data science architecture that supports AI and ML modeling capabilities at Albertsons Companies. This role requires a visionary thinker with deep technical expertise to drive the evolution of data science infrastructure and methodologies, ensuring scalability and reliability across retail platforms.

Responsibilities

• Define and implement the overarching data science architecture and strategy.
• Ensure the scalability, performance, and reliability of data science solutions.
• Lead the selection and integration of data science tools, frameworks, and platforms.
• Build and deploy data science solutions at scale.
• Design and develop advanced machine learning and statistical models.
• Oversee the deployment of data science models into production environments.
• Ensure best practices in data engineering, model management, and version control.
• Work closely with data engineers, data scientists, and software engineers to build and maintain robust data pipelines.
• Provide technical mentorship and guidance to the data science team.
• Collaborate with cross-functional teams to translate business requirements into scalable data science solutions.
• Stay abreast of the latest advancements in data science, machine learning, and AI technologies.
• Evaluate and implement new tools and technologies to enhance the data science architecture.
• Drive innovation through research, experimentation, and prototyping.
• Establish and enforce data science best practices, including coding standards, documentation, and model validation.
• Ensure data security and compliance with relevant regulations and standards.
• Develop and maintain comprehensive documentation of the data science architecture and processes.

Requirements

• 10+ years of experience in data science, with significant experience in architecting and deploying data science solutions at scale.
• Proficiency in SQL and experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data analysis tools (e.g., Python, R).
• Strong background in data engineering and big data technologies (e.g., Hadoop, Spark).
• Strong problem-solving skills and the ability to think critically and analytically.
• Excellent communication and presentation skills.
• Ability to manage multiple projects and prioritize tasks effectively.
• Product mindset and systems thinking.
• Advanced degree in a STEM field like CS, DS, Engineering, Statistics, Math, etc. is preferred, or equivalent experience from building large scale solutions.

Nice-to-haves

• Experience in the retail industry.
• High performance computing background and experience engaging with the engineering teams in a product model.
• Knowledge of data visualization tools (e.g., Tableau, Power BI).
• Familiarity with DevOps practices and tools for model deployment and monitoring (e.g., Docker, Kubernetes).

Benefits

• Hybrid work environment
• Competitive salary range of $182,400 to $247,000
• Flexibility for exceptional candidates
• Comprehensive health benefits
• Opportunities for professional development and growth