3 дня назад
Data Scientist (Machine Learning)
110 000 - 117 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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