Lead Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Deliver features related to generative AI by designing, fine-tuning, and assessing LLM/LMM applications (prompting, RAG, safety, and evaluations) that are ready for production.

• Construct agentic AI workflows by planning and executing multi-step tasks that involve tool usage, memory, and orchestration; integrate with internal APIs and data sources.

• Develop and deploy models by managing the entire lifecycle from experimentation to production, including monitoring and iteration to ensure scalability of machine learning models.

• Incorporate analytics by integrating advanced analytical capabilities into applications and systems to enhance functionality and support decision-making.

• Conduct deep data analysis on large and complex datasets to derive insights that guide strategy and product direction.

• Elevate the standards of rigor by applying regression techniques, tree-based methods (Random Forest, Boosting), text mining/NLP, neural networks, and clustering while ensuring strong statistical validation.

• Optimize pipelines to enhance the performance and reliability of machine learning workflows and cloud integrations across platforms like AWS, Google Cloud, and Azure.

• Mentor and lead junior team members by promoting best practices in experimentation, documentation, and reproducibility.

• Collaborate cross-functionally by working closely with product, engineering, and business stakeholders to align initiatives with desired outcomes and timelines.

⛳️ Requirements

• Demonstrated experience in delivering impactful production generative/agentic AI solutions that enhance user outcomes or team productivity.

• Educational background: Bachelor’s or Master’s degree in Mathematics, Computer Science, Statistics, Data Science, or a related discipline.

• Professional experience: Over 8 years as a Data Scientist or Data Engineer with proven leadership roles.

• Leadership skills: Established capability to mentor junior team members and collaborate effectively across various teams.

• Impact orientation: A history of influencing the quality, reliability, and security of machine learning solutions while clearly communicating results to stakeholders.

🏝️ Benefits

• Remote work options available.

• Opportunities for mentorship.

• Professional development initiatives.

• Flexible working arrangements.