Staff Data Scientist

🕒 September 15

🇺🇸 United States – Remote

💵 $230k - $310k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 0%

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Logo of Angi

Angi

1001 - 5000 employees

Founded 1995

🏪 Marketplace

👥 B2C

💰 $30M Debt Financing - Angi on 2011-10

Marketplace • B2C

Angi is a consumer-facing online marketplace that helps homeowners find, compare, and hire local professionals for home improvement, maintenance, and repair projects. The platform lists many trades and services — including plumbing, electrical, roofing, landscaping, cleaning, remodeling, and more — provides ratings and pricing guides, offers an app, and allows service professionals to register and manage their businesses. It also publishes cost guides and project research to help homeowners plan jobs.

📋 Description

• 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

• 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

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

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