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6 часов назад

Data Scientist (AI)

85 000 - 122 200$
Формат работы
onsite
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
Data Scientist (AI) (Python/Machine Learning): Designing scalable data science algorithms and models across massive datasets with an accent on operations research, optimization, simulation, and Generative and Agentic AI. Focus on exploratory data analysis, feature engineering, cloud-based model development, productionizing solutions with engineering teams, and quantifying business impact.

Location: Cincinnati General Offices, United States

Salary: $85,000–$122,200 per year, plus bonus where applicable and benefits.

Company

Procter & Gamble develops and operates consumer products and business solutions at global scale.

What you will do

  • Design and develop scalable data science algorithms for complex business and scientific problems.
  • Research, customize, and implement algorithms across different problems and data types.
  • Apply exploratory data analysis, feature engineering, and model building to massive datasets in cloud environments.
  • Use machine learning, operations research, optimization, simulation, Generative AI, and Agentic AI techniques.
  • Collaborate with Data and Software Engineering teams to productionize solutions.
  • Coach colleagues and develop recognized expertise in data science methodologies.

Requirements

  • Master’s degree in a quantitative field such as Operations Research, Computer Science, Engineering, Applied Mathematics, Statistics, Physics, or Analytics, or equivalent work experience.
  • Proficiency in Python and familiarity with OpenCV, scikit-learn, PyTorch, TensorFlow/Keras, and Pandas.
  • Ability to develop and test code within cloud environments and work with large datasets.
  • Strong written and verbal communication skills, including the ability to influence others.
  • Work at the Cincinnati General Offices is required.
  • Immigration sponsorship is not available for this role.

Nice to have

  • Experience applying machine learning, optimization, simulation, Generative AI, or Agentic AI to real-world problems.
  • Experience with GCP or Azure.
  • Familiarity with Git, CI/CD, and DevOps environments.
  • Commitment to continuous learning and teaching others.

Culture & Benefits

  • Total rewards include salary, bonus where applicable, and benefits.
  • Career mobility may include assignments across different locations and business challenges.
  • Equal employment opportunities and disability accommodations are provided.

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