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10 часов назад

Senior Data Scientist (AI/ML)

117 200 - 217 600$
Формат работы
remote (только USA)
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 (AI/ML): Developing AI and machine learning solutions to meet client needs in domains like NLP, supervised learning, time series forecasting, and anomaly detection, with an accent on building high-impact software solutions that deliver automation, insights, and assistance. Focus on selecting features, building, and optimizing models using machine learning techniques and leveraging cutting-edge big data technologies.

Location: Fully remote within the U.S.

Salary: $117,200 – $217,600/yr

Company

hirify.global is an award-winning provider of cloud-based HR and payroll software solutions, offering a complete platform for the modern workforce.

What you will do

  • Select features, build, and optimize models using various machine learning techniques such as time series methods, regression, random forests, gradient boosting, and neural networks.
  • Leverage cutting-edge big data technologies on AWS and Microsoft Azure utilizing Databricks and Spark.
  • Collaborate with Product Managers, Enterprise Architects, and Software Development Managers to translate complex human capital management challenges into data science projects.
  • Create automated data and modeling pipelines and develop custom performance tracking.
  • Work closely with fullstack software engineers in an agile product development environment to deliver machine learning software features.
  • Conduct ad-hoc analyses and present results in a clear manner.

Requirements

  • Bachelor’s degree with 5 years of demonstrated data science success or similar experience; or an advanced degree (master’s or PhD) in a quantitative field.
  • Experience in writing production-grade machine learning models in Python.
  • Experience with cloud infrastructure (e.g., AWS, Azure, GCP).
  • Demonstrated ability to leverage data science to drive business results.
  • Skilled at translating business problems into data science problems and communicating the results to non-technical audiences.
  • Able to work in a collaborative environment with a desire to share ideas, and independently complete tasks with high quality.

Nice to have

  • Professional or academic experience in HR, social science, or psychology.
  • Significant experience with cloud development and infrastructure-as-code tools.
  • Investment in staying current in data science by applying new technologies and practices.

Culture & Benefits

  • Offers medical, dental, vision, life, and disability benefits, along with a 401(k) match.
  • Provides perks that support you, your family, and your finances.
  • Offers career development opportunities and a focus on employee success.
  • Committed to full inclusion of all individuals and embraces diversity through employee resource groups.
  • Provides reasonable accommodations for applicants and employees with disabilities.

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