Staff Data Scientist at Angi | CO, US | Rezi

Staff Data Scientist at Angi

Staff Data Scientist

Angi · CO, US

1 weeks ago

Staff Data Scientist

Angi · CO, US

7 days ago
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About the Role

Angi is seeking an exceptional Staff Data Scientist to help build our agent suite for Pros, AI software that automates and runs the Pro's business. The first product is an AI voice and SMS agent that contacts homeowners, qualifies jobs, and books appointments. This role focuses on a product with conversational and probabilistic behavior, shaping agent behavior, building evaluation systems, designing experiments, and modeling the lead-to-job completion journey. Success directly improves Pro revenue.

Responsibilities

  • Lead improvements to agent conversation, qualification, and booking through conversation design, prompting, and campaign logic.
  • Build evaluation systems to measure agent quality, including automated checks, simulated conversations, and model-based evaluation.
  • Establish frameworks and experiment design practices for product deployment.
  • Analyze real conversations to identify agent successes and failures, creating a taxonomy of failure modes and a prioritized improvement path.
  • Develop and productionize predictive models for qualification, appointment quality, homeowner engagement, and channel/timing selection.
  • Collaborate with engineers, product managers, designers, and operations partners on scalable solutions.
  • Foster innovation by exploring new approaches and techniques.
  • Guide junior team members and promote a culture of continuous learning and technical excellence.
  • Encourage innovation and knowledge sharing in advanced data science techniques.

Requirements

  • Master's or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics) or equivalent practical experience.
  • 6+ years of experience in data science and machine learning, preferably in tech and marketplace environments.
  • Experience with non-deterministic systems (e.g., LLM applications, conversational agents, ranking/recommendation systems) and their measurement.
  • Expertise in statistical thinking and experiment design, including power/sample size, sequential/non-inferiority designs, and correlated data.
  • Experience working with raw data, including categorizing customer interactions.
  • Proven track record of deploying and maintaining impactful work in production environments.
  • Proficiency in SQL and Python.
  • Experience with cloud ML solutions.
  • Excellent communication skills for conveying complex technical concepts to non-technical stakeholders.

Skills

  • SQL
  • Python
  • Cloud ML solutions
  • Statistical thinking
  • Experiment design
  • LLM applications
  • Conversational agents
  • Prompting
  • Agent design
  • Evaluation tooling
  • Voice systems
  • Telephony systems
  • Speech recognition
  • Turn taking
  • Call quality measurement
  • Workflow orchestration

Location

  • Remote

Work Type

  • Full-time

Experience Level

  • Staff
  • 6+ years

Education Level

  • Master's or Ph.D.

Salary/Compensations

  • $230,000 to $310,000

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)

About the Company

  • For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well.
  • Founded in 1995 as Angie’s List and rebranded in 2021.
  • Global company with 9 brands in 8 countries and employees worldwide.
  • Homeowners have turned to us for 300 million home projects and counting.

Equal Opportunity

  • We value diversity
  • We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.
  • Our hiring process may utilize artificial intelligence (AI) tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.