
Master Data Scientist
5 days ago
Our organization is responsible for developing and maintaining frameworks, tools, and data products that are essential to our company's success.
As a key member of our team, you will play a vital role in fostering unified analytics and driving data-driven use cases by leveraging a robust multi-tenant platform and semantic layer.
We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape.
Core Responsibilities:
- Build machine learning solutions for various business units within our organization.
- Unlock machine learning opportunities and build foundational machine learning training and inference pipelines at scale.
- Lead data science and model development techniques for the team.
- Leverage industry best practices and tools to continually improve teams' ability to build machine learning models.
Requirements:
- Bachelor's degree in statistics, mathematics, economics, industrial engineering, or other quantitative discipline.
- 5+ years of experience building data science/statistical models.
- Strong understanding of modern ML approaches.
- Experience with Deep Learning, NLP, LLMs, Reinforcement Learning, Causal Inference.
- Proficiency in programming languages such as Python or R.
- Familiarity with real-world ML systems.
- Good understanding of operating machine learning solutions at scale.
- Strong interpersonal skills.
Guiding Principles:
Our guiding principles are central to how we get things done. You can find them along with some insights from the team on what they mean and how they show up in their day-to-day work.
Championing Inclusion:
We value diversity and believe that everyone deserves equal opportunities to succeed.
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