Sr Data Scientist

Total Cash Compensation: $300K+ structured according to abilities. Benefits:
Medical, Dental, and Vision insurance, 401k, sick leave, employee assistance program, PTO, paid holidays, and legal insurance.

• Design, build, validate, and own valuation models across private equity, corporate credit, infrastructure, and real estate through their full lifecycle.
• Reconcile model output against actual market transactions and drive every unexplained discrepancy to root cause.
• Build the tests, checks, and documentation that make outputs audit-grade: reproducible, explainable, and defensible.
• Own the Python and SQL production pipeline, from messy market and transaction data to model output.
• Defend methodology to auditors, clients, and internal reviewers, including the chief investment officer.
• Work as a senior individual contributor, personally owning the highest-stakes models while junior scientists support side models.
• Find alternative approaches when the first fails and drive every problem to completion.

• 5+ years building production data science or quantitative models whose output was reviewed and relied on.
• PhD or MS in Computer Science, Statistics, Applied Mathematics, or equivalent demonstrated expertise.
• Strong applied statistics and modeling depth, including time-series analysis, causal inference, and econometrics.
• Proficiency in Python and SQL, with experience shipping models and pipelines to production.
• Ability to trace every result to raw source data.
• Clear written methodology documentation that a non-author can audit and reproduce.
• Ability to defend methodology under auditor and client scrutiny.

• Exposure to private equity, corporate credit, infrastructure, or real estate valuation.
• Broader public or private financial-markets background.
• NLP experience.
• Experience deploying models in data-constrained environments.
• Published research, novel methods, or invited talks.

Averro is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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