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3 дня назад

Data Scientist (Machine Learning)

110 000 - 117 000$
Формат работы
remote (только USA)
Тип работы
fulltime
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): Develops and optimizes machine learning models and data pipelines for healthcare solutions with an accent on time series forecasting, feature engineering, and large-scale data integration. Focus on improving model performance, deploying production ML systems, and designing scalable cloud-based data architectures.

Location: Remote - US

Salary: $110,000–$117,000 USD annually.

Company

Owens & Minor is a global healthcare solutions company providing medical products, services, and technology solutions to hospitals, health systems, and research centers.

What you will do

  • Develop, optimize, deploy, monitor, and improve machine learning models for time series forecasting and predictive analytics.
  • Perform feature engineering, data model optimization, and evaluation using MAPE, RMSE, R², and other metrics.
  • Build data pipelines and large-scale integrations with PySpark, SQL, cloud services, and ETL platforms.
  • Use Palantir Foundry, Google Cloud, AutoAI, and Google Colab for data processing, modeling, and automation.
  • Design and maintain data warehouses, data transformations, and analytics solutions for AI/ML initiatives.
  • Collaborate with business stakeholders and communicate technical findings to technical and non-technical audiences.

Requirements

  • Proficiency in Python, PySpark, and SQL.
  • Expertise in time series forecasting, including ARIMA, Prophet, LSTMs, and machine learning approaches.
  • Experience with feature engineering, model optimization, performance evaluation, data pipelines, ETL, and data transformation.
  • Experience with Boomi, SnapLogic, SSIS, or Palantir, including Palantir Foundry.
  • Proficiency with Google Cloud services such as BigQuery, Vertex AI, and Cloud Functions.
  • Experience querying large-scale datasets, data lakes, relational databases, and using AutoAI and Google Colab.

Nice to have

  • Experience with MLOps, continuous deployment, model monitoring, and retraining.
  • Knowledge of business intelligence and data visualization tools.
  • Background in supply chain, logistics, or operational forecasting.
  • Experience with batch and real-time data processing architectures.
  • Familiarity with C#, Java, or JavaScript.

Culture & Benefits

  • Full-time employment with medical, dental, and vision coverage from the first day.
  • Educational assistance for eligible accredited collegiate programs.
  • Employer-paid life insurance and disability coverage.
  • HSA, 401(k), paid holidays, vacation, sick days, and parental leave.
  • Adoption assistance, fertility benefits, teammate assistance, and well-being programs.

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