Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$164к-215к/год
$170к$190кмедиана$210к
По похожим ролям (50) ~ $190к/год
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Понятная ответственность за проекты от постановки задачи до запуска, работа с ML для выявления мошенничества и продуктовая компания в сфере здравоохранения делают вакансию сильной; обязательные три офисных дня снижают гибкость.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Scientist, Fraud (Healthcare): Building data pipelines, machine learning models, and analytical tools to detect fraud and reduce avoidable medical costs with an accent on healthcare claims, investigative leads, and stakeholder-driven data science solutions. Focus on designing end-to-end fraud models, validating and improving production outputs, and contributing to technical direction while mentoring junior data scientists.
Location: New York City office with a hybrid schedule requiring 3 days of in-office work per week; Thursdays are required in-office days, with the other two office days flexible.
Base pay: $163,944–$215,176 per year, plus benefits, equity grants, annual performance bonuses, and unlimited vacation.
Company
hirify.global is a health insurance company built around a full-stack technology platform and focused on serving its members.
What you will do
Design, build, and maintain data pipelines, machine learning models, and analytical tools for fraud detection and prevention.
Partner with the Special Investigations Unit and Medical Economics team to translate business needs into data science solutions and investigative leads.
Own projects end-to-end, from problem definition and technical design through implementation, validation, launch, and ongoing improvement.
Manage stakeholder relationships and collaborate with data and business counterparts across functional areas.
Contribute to the fraud data science roadmap and longer-term technical direction.
Mentor junior data scientists and provide technical guidance.
Requirements
4+ years of experience in data science or another quantitative technical field, including academia.
3+ years of experience using SQL and Python to query, manipulate, and analyze data.
3+ years of experience building data models and using advanced analytics methods, statistical modeling, and/or data processing.
Experience applying supervised or unsupervised machine learning techniques, including predictive modeling, anomaly detection, clustering, or graph/network analysis, to identify potential fraud in healthcare, insurance, financial services, or other industries.
Compliance with all applicable laws and regulations.
Nice to have
Experience analyzing healthcare claims, provider billing patterns, or medical and pharmacy utilization data.
Culture & Benefits
Full-time employment with medical, dental, and vision benefits.
Unlimited vacation, 11 paid holidays, paid sick time, paid parental leave, and paid wellness time and reimbursements.
401(k) participation, life and disability insurance, equity grants, and annual performance bonuses.
Equal opportunity environment focused on belonging and support for authentic self-expression.
Hybrid work includes a required Thursday office day for team meetings and events.
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