For our client, we are seeking a Staff Data Scientist to join the team of a leader in the Real Estate & Construction space.
This role will focus on improving conversational and booking experiences by turning raw customer interactions into actionable data science insights. The Staff Data Scientist will build measurement frameworks, develop predictive models, and help bring advanced machine learning solutions into production. This position will partner closely with cross-functional teams to drive better agent quality, stronger decision-making, and scalable operational outcomes.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $210,000 – $280,000 annually
Responsibilities
- Lead improvements to agent conversation and booking processes
- Build measurable evaluation systems for agent quality
- Analyze real conversations to identify success and failure points
- Develop and deploy predictive models into production
- Collaborate with cross-functional teams throughout the development process
- Explore new techniques and innovative approaches to solve complex problems
- Guide and mentor junior team members in advanced data science techniques
Qualifications
- Master’s or Ph.D. in a quantitative field, or equivalent experience
- 6+ years of experience in data science and machine learning, ideally in tech and marketplace environments
- Experience with non-deterministic systems such as LLMs or conversational agents
- Strong statistical thinking and experiment design skills
- Comfortable working with raw data, including real customer interactions
- Proven track record of deploying impactful work in production environments
- Proficiency in SQL and Python, with experience in cloud ML solutions
Benefits
- Competitive year-end performance bonus and equity package
- Comprehensive medical, dental, and vision benefits
- Flexible vacation policy to support work-life balance
- Pet discount plans and a 401(k) retirement plan with company match
- Opportunity to work with motivated teammates on unique challenges
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.