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Lead Data Science Architect
1 month ago
As a key member of our team at Advantage Technical, you will play a crucial role in designing and overseeing the implementation of ML architecture that powers our organization's ML solutions. Your expertise will span problem domains including ranking, monetization, sponsored search, and recommendations.
Key Responsibilities:
- Architectural Leadership: Lead the design, implementation, and deployment of ML architecture, ensuring alignment with organizational goals and industry best practices.
- Solution Design: Collaborate with ML and engineering teams to design ML models and systems that solve complex business problems in a scalable, performant manner.
- Team Collaboration: Work closely with cross-functional teams and business stakeholders to understand requirements and provide technical guidance.
- Research and Innovation: Stay current with emerging ML trends, technologies, and methodologies, applying them to enhance our ML capabilities.
- Mentorship and Training: Provide guidance, mentorship, and training to junior ML engineers and architects.
Qualifications:
- 7+ years of relevant industry experience, with 3+ years of ML lead/architect experience.
- Experience in autonomously building, maintaining, deploying, and growing large-scale Internet machine-learning capabilities.
- Experience coding in Java, Python in backend development; Tensorflow, PyTorch, Sagemaker, or equivalent ML Platforms for model development; and Python or R for data analytics.
- Experience with SQL Databases such as Presto, AWS Athena, Postgres, BigQuery, or equivalent.
- A Master's or Ph.D. degree in Data Science, Computer Science, Statistics, or a related field; or equivalent experience.
- Effective and inclusive verbal and written communication to a variety of different audiences.
- Prior working experience in the advertising, monetization, or recommendation domain is a plus.