Staff Data Scientist

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

📋 Description

• Drive enhancements to agent interactions, qualification processes, and booking procedures through effective conversation design, prompting strategies, and campaign logic.

• Create evaluation systems utilizing automated checks on conversation data, simulated dialogues, and model-driven assessments.

• Set up frameworks and practices for experiment design to inform product decisions.

• Examine actual conversations to pinpoint agent achievements and areas for improvement.

• Construct predictive models to assess qualification, appointment quality, homeowner engagement, and optimal channel and timing choices.

• Implement models in production while ensuring ongoing monitoring and testing.

• Collaborate with engineers, product managers, designers, and operational partners from the ideation stage to deployment.

• Investigate innovative solutions to intricate business challenges.

• Guide junior team members and foster a culture of technical excellence and knowledge sharing.

⛳️ Requirements

• Master’s or Ph.D. in a quantitative discipline (e.g., Computer Science, Statistics, Mathematics, or related fields), or equivalent practical experience.

• Over 6 years of experience in data science and machine learning.

• Familiarity with systems that produce non-deterministic outputs, such as LLM applications, conversational agents, or ranking and recommendation systems.

• Proven experience in developing methodologies to assess system quality.

• Strong expertise in statistical reasoning and experiment design, covering aspects like power and sample size, sequential and non-inferiority designs, and correlated data.

• Experience in analyzing and classifying large datasets of real customer interactions.

• Demonstrated success in transitioning impactful work into production settings and maintaining it effectively.

• Proficient in SQL and Python.

• Experience with cloud-based machine learning solutions.

• Exceptional communication skills with the ability to explain complex technical concepts to non-technical audiences.

• Preferred: Experience with LLM applications in live environments, including prompting, agent design, or evaluation tools.

• Preferred: Knowledge of voice or telephony systems, including streaming speech recognition, turn-taking, or call quality metrics.

• Preferred: Experience in workflow orchestration for extended processes.

• Preferred: Background in home services, field service, or another operations-intensive marketplace.

🏝️ Benefits

• Competitive year-end performance bonus.

• Equity package.

• Comprehensive medical, dental, and vision coverage.

• Flexible vacation policy.

• Pet discount plans.

• Retirement plan with company matching (401K).