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2 дня назад

Data Scientist (Machine Learning)

85 000 - 90 000$
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 (Machine Learning): Developing scalable data-driven solutions and supervised and unsupervised machine learning models for large U.S. clients with an accent on large-scale data processing, statistical analysis, and deep learning. Focus on building commercial models, applying NLP and recommender systems, and deploying predictions through MLOps and CI/CD pipelines.

Location: Atlanta, Georgia, United States

Salary: $85,000–$90,000 annually, plus eligibility for commission or an annual performance incentive plan.

Company

hirify.global provides data-driven services and solutions to large clients across the United States.

What you will do

  • Query, preprocess, clean, aggregate, and analyze terabytes and petabytes of structured and unstructured data from multiple sources.
  • Build and deploy scalable supervised, unsupervised, machine learning, and deep learning models for internal and external customers.
  • Apply statistical methods including sampling, hypothesis testing, attribution analysis, multivariate segmentation, and recommender systems.
  • Develop custom analytical solutions by combining business requirements with data and process knowledge.
  • Collaborate with data scientists and data engineering on product development from proof of concept through commercial deployment.
  • Support SDLC, CI/CD, agile delivery, and MLOps pipelines for data processing, model training, and prediction testing at scale.

Requirements

  • Bachelor’s degree in Computer Science, Mathematics, Statistics, Machine Learning, Analytics, or Data Science.
  • 0–2 years of relevant experience; one year of data science experience is preferred.
  • Strong knowledge of statistical techniques and machine learning algorithms, including regression, random forests, gradient boosting, XGBoost, PCA, NLP, and neural networks.
  • Experience with SQL, Python, PyTorch, PySpark, R, Spark, Scala, and AWS.
  • Ability to communicate analytical findings to audiences with different technical backgrounds and business priorities.
  • Must be at least 18 years old.

Nice to have

  • Master’s degree in Computer Science or Statistics.
  • Experience with ensemble modeling and Bayesian optimization.

Culture & Benefits

  • Healthcare coverage including medical, dental, and vision benefits.
  • Paid time off, volunteer time off, and holidays.
  • Employer-matched retirement plan and employee stock purchase plan.
  • Short-term and long-term disability coverage.
  • Infertility treatment, adoption, and surrogacy assistance.
  • Tuition reimbursement and an inclusive workplace recognized as a top employer.

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