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LeadFull-timePythonAWSGCPMachine LearningData ScienceAIML
Salary Range
$121,125 - $163,875 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Staff Data Scientist to lead the development of production-grade machine learning solutions that drive measurable business impact. This is a senior individual contributor role requiring deep technical expertise and the ability to influence cross-functional teams.
Key Responsibilities
- →Lead the design and development of ML systems that solve complex business problems
- →Make sound technical decisions on model architecture and evaluation methodology
- →Set standards for model validation, testing, and monitoring
- →Frame business problems as well-defined ML tasks with clear success criteria
- →Build robust predictive models (classification, regression, time series, causal inference)
- →Implement rigorous train/validation/test methodology
- →Partner with product, engineering, and business teams to ensure ML solutions solve real problems
- →Translate complex technical concepts into actionable recommendations
Requirements
- ✓MS in a quantitative field (Statistics, Computer Science, Operations Research or related discipline)
- ✓7+ years applied ML / data science experience
- ✓Expert-level proficiency in Python / R, and SQL
- ✓Familiarity with cloud data & ML platforms (GCP/Vertex AI, AWS/SageMaker)
- ✓Proven track record of building production ML systems
- ✓Deep understanding of model evaluation methodology
- ✓Strong communication and influence skills
- ✓Self-directed and autonomous
