Senior Data Scientist in a hybrid role focusing on AI Readiness and solutions delivery for clients. Mentoring junior data scientists while managing client engagements and project execution.
About the role
- ML Engineer building configurable ML systems that drive enterprise growth outcomes. Working closely with high-level stakeholders to translate business challenges into ML solutions.
Responsibilities
- Build and deploy ML models and pipelines
- Contribute to multi-tenant model architectures
- Owning models through to production
- Design and run rigorous A/B tests
- Translate customer context into modeling decisions
- Present results to senior stakeholders
- Hold the line on rigor
- Thrive in ambiguity
Requirements
- ML engineer who ships to production
- Clean, testable Python
- Understanding of B2C business problems
- Building recommendation systems
- Experience with multi-tenant ML systems
- Strong B2C business knowledge
- Causal reasoning and inference knowledge
Benefits
- Competitive salary + equity
- Health insurance
- Paid time off
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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