At Scale AI, the business problem is to accelerate the development of artificial intelligence by providing the essential, data-centric infrastructure for building and deploying advanced AI systems, and to deliver measurable business impact for leading AI innovators and enterprise customers.
Requirements
- 5+ years of relevant industry experience in a highly analytical role (e.g., Data Science, ML Engineering, Quantitative Analysis).
- Proven track record of shipping high-quality data products, models, or features at scale.
- Strong problem-solving skills and the ability to turn abstract business and product ideas into concrete data science and engineering solutions.
- Expert-level coding abilities in Python for data science (e.g., Pandas, NumPy, Scikit-learn) and mastery of complex SQL across large datasets.
- Ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
- Desire to thrive in a fast-paced, dynamic environment and adapt quickly to the ever-changing world of Generative AI.
- Experience with large-scale data processing frameworks and distributed systems (e.g., Spark, Ray).
Responsibilities
- Drive Impact: Directly contribute to the advancement of AI by delivering critical data science infrastructure and insights for leading AI innovators and enterprise customers.
- Customer Collaboration: Interact daily with our technical customers, deeply understanding their unique challenges and translating ambiguous business problems into concrete data-driven solutions and robust statistical models.
- End-to-End Data Solution Development: Design, build, and deploy solutions across the entire data lifecycle—from data ingestion and pipeline construction to statistical modeling, experimentation, model evaluation, and insight generation.
- Rapid Experimentation: Design and deliver high-quality experiments (e.g., A/B tests, marketplace modeling), iterating quickly to validate hypotheses, meet customer needs, and drive innovation.
- Strategic Influence: Act as the voice of the customer to our internal Product, Engineering, and Data Science teams, channeling real-world insights to influence our product roadmap and technical strategy.
- Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, from building LLM evaluation frameworks to adapting statistical models for novel economic and business problems.
- Leadership Growth: This role offers a unique opportunity to lead critical customer-facing projects, shape our data culture, and accelerate your career growth.
Other
- 5+ years of relevant industry experience in a highly analytical role.
- Travel requirements not specified, but role may be located in San Francisco or New York City.
- Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.
- Bachelor's, Master's, or Ph.D. degree requirements not specified, but relevant experience is required.
- Ability to work in a fast-paced, dynamic environment and adapt quickly to the ever-changing world of Generative AI.
