Data Scientist

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🇺🇸 United States – Remote

💵 $110k - $117k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Owens & Minor

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1882

📦 Logistics

💼 Consulting

🏥 Healthcare

💰 Post-IPO Debt on 2022-03

Logistics • Consulting • Healthcare

Owens & Minor is a global healthcare solutions company that provides essential products and services to support care from the hospital to the home. The company specializes in healthcare logistics, inventory management, supply chain solutions, and infection prevention. It offers logistics solutions to reduce costs and eliminate complexities for both acute and non-acute healthcare settings. Owens & Minor is also involved in consulting, helping improve healthcare supply chains and partnerships. The company is dedicated to empowering healthcare providers and serving patients, manufacturers, and communities with its range of products and services.

📋 Description

• Develop and optimize machine learning models focused on time series forecasting and predictive analytics • Perform feature engineering and data model optimization to improve model accuracy and efficiency • Evaluate model performance using MAPE, RMSE, R², and adjust strategies accordingly • Build and implement data pipelines using PySpark, SQL, and cloud-based solutions • Work on large-scale data integration projects using Boomi, SnapLogic, SSIS, or Palantir • Use Palantir Foundry, Google Cloud, AutoAI, and Google Colab for data modeling, processing, and automation • Design and maintain data warehouse solutions for advanced analytics and business intelligence • Perform complex data transformations using SQL queries and data objects for AI/ML initiatives • Collaborate with business stakeholders to align models with user expectations and business objectives • Deploy, monitor, and continuously improve machine learning models in production • Communicate technical findings and insights to technical and non-technical audiences

🎯 Requirements

• Proficiency in Python, PySpark, and SQL • Expertise in time series forecasting models, including ARIMA, Prophet, LSTMs, and ML-based approaches • Strong experience in data model optimization, feature engineering, and performance evaluation • Deep understanding of ML model evaluation metrics and best practices for improving model accuracy • Hands-on experience in data engineering, data pipelines, ETL, and data transformation projects • Experience using Boomi, SnapLogic, SSIS, or Palantir for data integration • Proficiency in Google Cloud, including BigQuery, Vertex AI, and Cloud Functions • Experience with Palantir Foundry for data processing, analysis, and visualization • Ability to optimize and query large-scale datasets using data lakes and relational databases • Familiarity with AutoAI for automated model selection and hyperparameter tuning • Experience with Google Colab for collaborative machine learning development • Excellent problem-solving and communication skills for conveying complex concepts to business stakeholders • Preferred: experience with MLOps, business intelligence and reporting tools, supply chain/logistics/operational forecasting, batch and real-time data processing architectures, SQL and data transformation optimization, and C#, Java, or JavaScript

🏖️ Benefits

• Comprehensive healthcare plan with medical, dental, and vision plans starting on day one for full-time teammates • Educational assistance for eligible teammates enrolled in an approved, accredited collegiate program • Employer-paid life insurance and disability coverage • Voluntary supplemental life, hospitalization, critical illness, and other insurance programs • Adoption assistance • Fertility benefits through the medical plan • Parental leave • Health Savings Account (HSA) • 401(k) • Sick days and short-term leave • Holidays, vacation days, and personal days • Additional types of leave, including parental leave • Teammate Assistance Program (TAP) • Calm Health • Cancer Resources Services • Discount programs at no cost