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4 дня назад

Senior Data Scientist (Fraud Strategy & Portfolio Analytics)

91 000 - 169 000$
Формат работы
onsite
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
Senior Data Scientist (Fraud Strategy & Portfolio Analytics): Building machine-learning and statistical solutions from large structured and unstructured datasets to improve fraud strategy and portfolio decisions with an accent on anomaly detection, data mining, and quantitative analysis. Focus on designing analytical experiments, predicting business outcomes, recommending optimal actions, and presenting data-driven insights to management.

Location: Onsite in Strongsville, OH; Birmingham, AL; Dallas, TX; Denver, CO; or Pittsburgh, PA

Salary: $91,000–$169,000 base annual salary, plus incentive eligibility

Company

hirify.global is a banking and financial services company focused on customer experience, risk management, and data-driven business solutions.

What you will do

  • Lead analytical projects using large structured and unstructured datasets to generate actionable business insights.
  • Direct data gathering, processing, mining, and analysis of complex datasets.
  • Develop machine-learning algorithms and statistical models to predict business outcomes and recommend actions.
  • Design and lead analytical experiments to identify opportunities for product and process optimization.
  • Present insights to management through data visualization and data storytelling.
  • Collaborate with data architects, analysts, engineers, and visualization experts on data-driven solutions.

Requirements

  • 5+ years of industry-relevant experience and a university or college degree, or an equivalent combination of education, certification, and experience.
  • Master's degree.
  • Strong analytical thinking, data skills, quantitative analysis, mathematics, and statistics background.
  • Proficiency with SQL, Python, and R.
  • Experience with data mining, machine learning, modeling, and anomaly detection.
  • Must work in an in-office arrangement at one of the listed U.S. locations; visa sponsorship and STEM OPT participation are not available.

Nice to have

  • Prior banking or anti-fraud experience, especially with ACH, wire transfer, or other digital transaction products.
  • Effective communication skills.

Culture & Benefits

  • Inclusive workplace focused on respect, collaboration, and customer service.
  • Medical, prescription, dental, and vision coverage options.
  • 401(k) matching, pension, stock purchase plans, and financial wellness support.
  • Paid parental leave, holidays, occasional absence days, and 15–25 vacation days depending on career level and tenure.
  • Educational assistance, wellness programs, and dependent care support.

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