Data Scientist analyzing claims data, optimizing processes and collaborating across departments at Allianz Spain. Utilizing statistical techniques and developing predictive models for operational efficiency.
About the role
- Data Scientist involved in measuring user risk behaviors in AI for OpenAI. Collaborating across teams to develop insights that inform safety and product strategies.
Responsibilities
- Define the measurement framework for user-level risk across products and cohorts: scope the questions that matter and align on clear, policy-grounded definitions
- Establish baselines and statistical confidence for core metrics: prevalence, intensity, trends, and cohort dynamics
- Build decision-ready reporting surfaces: executive dashboards, weekly briefs, and launch readouts that translate insights into action
- Clean and organize ambiguous data from disparate sources, with an eye toward building automated pipelines and systems
- Create attribution and change-tracking: connect shifts in user behavior to mitigations, product changes, and external events
- Partner across Safety Systems, Data Science, Integrity, Product, and Policy: ensure one coherent analytics entry point and consistent standards
- Uphold quality, privacy, and governance: document methods, ensure auditability, and maintain durable measurement hygiene
- Monitor signals for emerging risks and anomalies: recommend priorities that reduce harmful usage and improve user safety
- Communicate clearly and concisely: deliver insights and trade-offs to executives and engineering teams in language that drives decisions
Requirements
- Have 3–6+ years in data science, measurement/causal inference, or risk analytics in high-stakes domains:
- Are strong in sampling, inference, uncertainty quantification, and rare-event estimation; comfortable with time-varying metrics:
- Write solid Python and SQL; are fluent with data warehouses and productionizing notebooks/pipelines:
- Communicate crisply, translating complex estimators into clear actions for executives and cross-functional partners:
- Nice to have: experience with Airflow DAGs or other ETL pipelines, Databricks, survival analysis, streaming/online detection, classifier evaluation/QA, privacy reviews/audit trails, or integrity/fraud/safety experience:
Benefits
- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
- 401(k) retirement plan with employer match
- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
- 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend to fuel your professional growth
- Daily meals in our offices, and meal delivery credits as eligible
- Relocation support for eligible employees
- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.
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