Staff Data Scientist

Angi

. Lead improvements to agent conversation, qualification, and booking through conversation design, prompting, and campaign logic .

Posted 9/15/2026full-timeRemote • United StatesLead💰 $230,000 - $310,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data science and machine learning, with a strong focus on statistical thinking, experiment design, and production deployment of models. Proficient in SQL and Python, with the ability to analyze customer interactions and mentor team members effectively.

Highest-signal resume keywords

Data Science ExpertiseMachine Learning ExperienceStatistical ThinkingSQL ProficiencyPython Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceMachine LearningStatistical ThinkingExperiment DesignModel DeploymentConversation AnalysisPredictive ModelingQuality MeasurementLLM ApplicationsWorkflow Orchestration

Soft Skills

Excellent CommunicationMentoring

Tools & Technologies

Cloud ML SolutionsConversation Design ToolsEvaluation Tooling

Certifications & Qualifications

Master's or Ph.D. in Quantitative Field

Industry Keywords

Home ServicesField ServiceOperations-Heavy MarketplaceConversational AgentsVoice SystemsTelephony Systems

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Lead improvements to agent conversation, qualification, and booking through conversation design, prompting, and campaign logic
Build evaluation systems using automated checks over conversation traces, simulated conversations, and model-based evaluation
Establish experiment design frameworks and practices for product decisions
Analyze real conversations to identify agent successes and failure modes
Develop predictive models for qualification, appointment quality, homeowner engagement, and channel and timing selection
Deploy models to production with monitoring and testing
Collaborate with engineers, product managers, designers, and operations partners from ideation through deployment
Explore innovative approaches to complex business problems
Mentor junior team members and promote technical excellence and knowledge sharing

Requirements

What you’ll need

Master's or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields), or equivalent practical experience
6+ years of experience in data science and machine learning
Experience with systems whose outputs are non-deterministic, such as LLM applications, conversational agents, or ranking and recommendation systems
Experience building ways to measure system quality
Expertise in statistical thinking and experiment design, including power and sample size, sequential and non-inferiority designs, and correlated data
Experience analyzing and categorizing large volumes of real customer interactions
Proven track record of taking impactful work into production environments and maintaining it
Proficiency in SQL and Python
Experience with cloud ML solutions
Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders
Preferred: Experience with LLM applications in production, including prompting, agent design, or evaluation tooling
Preferred: Experience with voice or telephony systems, such as streaming speech recognition, turn taking, or call quality measurement
Preferred: Experience with workflow orchestration for long-running processes
Preferred: Background in home services, field service, or another operations-heavy marketplace

Benefits

Comp & perks

Competitive year end performance bonus
Equity package
Full medical, dental, vision package
Flexible vacation policy
Pet discount plans
Retirement plan with company match (401K)