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1 день назад

Applied Data Scientist (Fintech)

190 000 - 200 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Applied Data Scientist (Fintech): Developing and maintaining credit risk, repayment, and predictive models for a digital banking platform with an accent on transaction-level feature engineering, production ML deployment, and credit decisioning. Focus on analyzing model drift, forecasting income and repayment behavior, and building explainable financial ML systems.

Location: New York City; hybrid, with office attendance at least three days per week on Tuesdays, Wednesdays, and Thursdays

Salary: $190,000–$200,000 annual base salary, plus equity, benefits, and additional perks

Company

hirify.global provides an embedded digital banking and earned-wage access platform integrated with scheduling, workforce management, and payroll applications.

What you will do

  • Develop and maintain credit risk, repayment, underwriting, and decision models.
  • Design predictive features from transaction-level data to model income flows, spending, and repayment behavior.
  • Deploy, monitor, and optimize production ML models using AWS and Snowflake ML Platform.
  • Prototype new modeling methodologies and present findings to stakeholders.
  • Investigate credit performance, model drift, and unexpected repayment behavior.
  • Partner with product, risk, and engineering teams to improve products and credit strategies.

Requirements

  • 5+ years of professional experience in data science and machine learning.
  • End-to-end experience leading data science projects from research and model development through deployment and monitoring.
  • Experience building and productionizing credit or risk assessment models.
  • Strong Python, SQL, and modern ML library skills, including tools such as TensorFlow, PyTorch, or XGBoost.
  • Experience working with large transactional and time-series datasets.
  • Strong communication and cross-functional collaboration skills in a fast-paced production environment.

Nice to have

  • Fintech or credit risk modeling experience.
  • Experience with AWS, Azure, Snowflake ML Platform, or other cloud-based ML environments.
  • Knowledge of model explainability techniques and financial modeling compliance requirements.
  • Experience with time-series forecasting, trend detection, and temporal feature engineering.

Culture & Benefits

  • Medical, dental, and vision coverage with the option to extend coverage to family members.
  • Fully paid parental leave.
  • Company-sponsored 401(k), HSA, and FSA.
  • Unlimited vacation for salaried roles.
  • Work-from-home setup allowance and company-sponsored short- and long-term disability insurance.
  • Access to earnings every day through hirify.global.

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