Data Scientist

Job not on LinkedIn

🕒 August 11

🇺🇸 United States – Remote

💵 $110k - $117k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

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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 SQL-based data transformations supporting 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 cloud computing, particularly 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 • Strong problem-solving and communication skills for conveying complex concepts to business stakeholders • Familiarity with object-oriented programming languages such as C#, Java, or JavaScript is beneficial but not required

🏖️ Benefits

• Comprehensive healthcare plan: medical, dental, and vision plans start 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 included in the medical plan • Parental leave • Health Savings Account (HSA) • 401(k) • Paid sick days, short-term leave, holidays, vacation days, personal days, and additional leave • Teammate Assistance Program (TAP) • Calm Health • Cancer Resources Services • Discount programs