Senior Data Scientist

Angi

. Improve agent conversation, qualification, and booking behavior through conversation design, prompting, and campaign logic .

Posted 9/15/2026full-timeRemote • United StatesSenior💰 $200,000 - $250,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science and machine learning, with a strong focus on statistical thinking, experiment design, and production system maintenance. Proficient in SQL and Python, with experience in analyzing customer interactions and developing predictive models for business applications.

Highest-signal resume keywords

Data ScienceMachine LearningStatistical ThinkingSQL ProficiencyPython Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceMachine LearningStatistical ThinkingExperiment DesignSQLPythonPredictive ModelingConversation DesignAutomated Evaluation SystemsQuality Measurement

Soft Skills

Excellent CommunicationMentoringCollaboration

Tools & Technologies

Cloud ML SolutionsLLM ApplicationsConversation AgentsWorkflow OrchestrationTelephony Systems

Industry Keywords

Home ServicesField ServiceOperations-Heavy Marketplace

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Improve agent conversation, qualification, and booking behavior through conversation design, prompting, and campaign logic
Build evaluation systems using automated conversation-trace checks, simulated conversations, and model-based evaluation
Establish experiment-design frameworks and practices for shipping decisions
Analyze real conversations to identify failures, create taxonomies, measure failure rates, and prioritize improvements
Develop predictive models for qualification, appointment quality, homeowner engagement, channel selection, and timing selection
Take models into production and maintain 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
4+ years of experience in data science and machine learning
Experience with non-deterministic systems 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 taking impactful work into production and maintaining production systems
Proficiency in SQL and Python
Experience with cloud ML solutions
Excellent communication skills and ability to convey complex technical concepts to non-technical stakeholders
Preferred: Experience with LLM applications in production, prompting, agent design, or evaluation tooling
Preferred: Experience with voice or telephony systems, including 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
Must be legally authorized to work in the United States

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)
Opportunity to work with sharp, motivated teammates on unique challenges