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LeadFull-timePythonMachine LearningData ScienceTensorFlowPyTorchAIMLData
Salary Range
$87,210 - $117,990 /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 join the AI Products team at Consumer Edge. This role involves designing, evaluating, and delivering AI systems including chatbots, RAG frameworks, and multi-agent workflows.
Key Responsibilities
- →Develop and evaluate AI and LLM applications for retrieval, generation, and conversation
- →Build evaluation pipelines and establish robust measurement standards
- →Collaborate with Software Engineers to productionize models
- →Research prompt strategies, fine-tuning approaches, and RAG architectures
- →Define metrics and experiments that connect model performance to user impact
- →Document and communicate findings to technical and business stakeholders
- →Mentor junior scientists and champion data quality standards
Requirements
- ✓Strong background in Applied Data Science or Machine Learning with 7+ years of experience
- ✓Hands-on experience building and evaluating LLM-powered systems, including RAG, conversational AI, and agentic/multi-agent workflows
- ✓Deep understanding of LLM evaluation techniques (offline benchmarks, human-in-the-loop review, LLM-as-judge, and online experimentation)
- ✓Background in statistics, experimentation, and ML research methods
- ✓Hands-on experience writing high-quality production code (Python, SQL) and experience with various data science libraries (Pandas, scikit-learn, PyTorch, TensorFlow)
- ✓Experience with ML platforms and orchestration tools (e.g., Vertex AI, MLflow, Dagster), or equivalent systems
- ✓Comfortable working in a startup environment, strong collaborator, and proven ability to deliver end-to-end projects with high-level stakeholder visibility
Benefits
- ★Remote-first company with a distributed environment and flexible working arrangements
- ★Office in New York available
- ★Distributed workers are treated as first-class citizens
