Data Scientist developing machine learning algorithms and solving modeling challenges at a data analytics firm situated in Bengaluru, India. Collaborating with teams to provide data - driven solutions.
About the role
- Staff Data Scientist focusing on designing evaluation frameworks to validate safety-critical AI systems. Collaborating with engineers to develop scalable data pipelines and deliver data-driven insights to leadership.
Responsibilities
- Design Evaluation Frameworks: Architect statistical methodologies for safety-critical AI systems to form objective, rigorous conclusions about their performance and reliability.
- Conduct Robust Analysis: Deliver validation evidence to support increasingly complex operations and identify potential edge-case failures.
- Inform Strategy: Deliver clear, data-driven insights to development teams to guide system improvement, and to executive leadership to inform milestone-level go/no-go decisions.
- Define Metrics: Drive alignment across engineering teams on performance metrics and data extraction strategies.
- Lead the Lifecycle: Manage all phases of evaluation including prototyping, requirements capture, design, implementation, and validation.
- Scale Pipelines: Partner with engineers to build and maintain scalable data processing and simulation pipelines, applying distributed computing to analyze petabytes of driving data.
Requirements
- MS or PhD in Statistics, Computer Science, Machine Learning, Applied Mathematics, or related quantitative field
- Proficiency in Python and SQL with experience in production-quality code
- Demonstrated expertise in statistical methodologies including hypothesis testing, power analysis, spatiotemporal modeling, Bayesian inference, and multivariate analysis.
- Experience with large-scale data analysis and statistical modeling
- Proficiency with Git, unit testing, and collaborative development practices
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