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6 часов назад

Associate Data Scientist (AI)

100 000 - 130 000$
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
Associate Data Scientist (AI): Building and refining machine learning solutions, ETL pipelines, and production data science features for a SaaS platform that detects financial crime risk, with an accent on statistical modeling, NLP, and large-scale unstructured data. Focus on training models, implementing solutions in Scala, leveraging LLMs for data science workflows, and solving complex customer challenges.

Location: Palo Alto, California, United States; hybrid work from home and the office

Salary: $100,000–$130,000 per year

Company

hirify.global is a data science technology company providing a SaaS AI platform that helps financial institutions and government agencies detect fraud, money laundering, and criminal networks.

What you will do

  • Prototype and build machine learning solutions for financial crime risk management.
  • Analyze large, unstructured datasets with SQL, Python, and PySpark to answer business questions and support modeling.
  • Design, write, and maintain ETL pipelines for complex datasets.
  • Train statistical and machine learning models, including solutions for customer-specific challenges.
  • Implement data science solutions in the production Scala codebase using software engineering best practices.
  • Apply large language models to data labeling, structured information extraction, and other data science tasks.

Requirements

  • MS degree or higher in Statistics, Mathematics, Computer Science, or a related field.
  • At least one year of professional industry experience in addition to academic experience.
  • Strong knowledge of statistics, probability, machine learning, hypothesis testing, inference, regularization, and dimensionality reduction.
  • Experience with supervised and unsupervised methods such as regression, classification, clustering, random forests, boosting, and neural networks.
  • Strong Python programming skills plus Scala, Java, or R; experience with SQL and/or Spark.
  • Knowledge of data structures, algorithm complexity, and quantitative communication for technical and non-technical audiences.

Nice to have

  • Applied NLP experience with topic modeling, text classification, word embeddings, or named entity extraction.

Culture & Benefits

  • Flexible hybrid work environment with a family-friendly work-life balance.
  • Company equity and an exceptional benefits package.
  • Flexible vacation and paid time off.
  • Employer-matched 401(k) plan.
  • Lunch provided for employees in the Palo Alto office.

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