
Chief Analytical Officer
3 days ago
Unlock the Power of Predictive Hiring
About Our MissionWe revolutionize hiring with AI-driven solutions that predict job performance more accurately than traditional methods. Our platform has already transformed hiring processes at top companies and achieved remarkable growth.
As a Data Scientist, you will play a critical role in developing and refining our core product metrics: match quality, time-to-hire, candidate experience, and revenue. Key responsibilities include:
Key Responsibilities- Define and track key metrics for ranking, interview analytics, and payouts systems.
- Design and execute A/B tests and quasi-experiments to drive product decisions.
- Develop data models and dashboards to empower teams with self-service insights.
- Instrument events with engineers to enhance data quality and latency.
- Prototype predictive models to improve matching and scoring.
- Evaluate LLM-powered agents through rubrics, human-in-the-loop studies, and guardrail canaries.
Succeeding in this role requires strong fundamentals (statistics, SQL, Python) and a proven ability to iterate quickly. You must communicate complex ideas clearly and demonstrate a passion for predictive modeling, particularly in areas like LLM evaluation and retrieval.
Requirements- 0-2 years of experience in data science/analytics or a related field; BS/BA in a quantitative discipline or equivalent work experience.
- Strong proficiency in SQL and Python for analysis; comfort with experiment design and causal thinking.
- Excellent communication skills to engage with engineers, PMs, and leadership; ability to translate analysis into actionable recommendations.
- Nice-to-have skills: dbt, dashboarding (Hex/Mode/Looker), marketplace or search/recommendation metrics, LLM/agent evaluation.
We value diversity and inclusion and welcome applications from qualified candidates without regard to legally protected characteristics. Reasonable accommodations are provided upon request.
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