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11 часов назад

Analytic Scientist I (AI)

88 000 - 121 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
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
Analytic Scientist I (AI): Developing FICO Scores, exploratory analyses, and predictive models for credit-risk and business problems with an accent on large-scale data preparation, statistical analysis, and decisioning techniques. Focus on identifying patterns, engineering variables, selecting modeling criteria, and explaining analytical results to technical and non-technical stakeholders.

Location: Novato, CA, United States; hybrid role with onsite work required at the Novato office at least 3.5 days per week, with the remaining time eligible to be worked remotely.

Targeted base pay range: $88,000–$121,000 annually.

Company

hirify.global is a global analytics software company developing decisioning, credit-scoring, fraud-detection, and lending solutions for businesses and consumers in more than 100 countries.

What you will do

  • Develop and enhance hirify.global Scores using current data and decisioning techniques.
  • Design exploratory analyses and predictive models for business problems.
  • Assess historical data, clean datasets, identify patterns, create variables, define sampling and performance criteria, and select variables.
  • Support products through analytic investigations for internal teams and clients and through analytic content for sales and client materials.
  • Document methods and results and explain them clearly to technical and non-technical colleagues.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Engineering, Physics, Statistics, Mathematics, Operations Research, or another quantitative science field.
  • Hands-on academic or industry experience building predictive models on real-world data, including data cleaning and statistical analysis of large datasets.
  • Experience analyzing large datasets and applying data-cleaning and statistical-analysis techniques.
  • Exposure to financial services or credit data, or a similar relevant industry.
  • Proficiency in one or more of R, Perl, Python, SAS, SQL, Java, C, or C++, plus familiarity with basic software design principles and coding standards or best practices.
  • Knowledge or exposure to clustering, classification and regression trees, random forests, gradient boosting, time-series analysis, Bayesian networks, PCA, independent component analysis, linear and logistic regression, inference, estimation, experimental design, neural networks, or SVM.
  • Intellectual curiosity, motivation, self-direction, and the ability to learn new concepts quickly and adapt in a fast-paced environment.

Culture & Benefits

  • Inclusive culture centered on ownership, customer focus, and earning the respect of others.
  • Professional development through learning experiences and opportunities to leverage individual strengths.
  • Competitive compensation, benefits, and rewards programs.
  • People-first work environment with work/life balance, employee resource groups, and social events.
  • Hybrid work arrangement with the remaining work time eligible to be performed remotely after the required onsite schedule.

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