[Remote] Data Scientist

Note: The job is a remote job and is open to candidates in USA. Owens & Minor is a global healthcare solutions company providing essential products, services and technology solutions that support care delivery in leading hospitals and health systems. They are seeking a highly skilled Data Scientist to develop and optimize machine learning models, perform data engineering, and collaborate with cross-functional teams to drive measurable value for the business.

Responsibilities

• Develop and optimize machine learning models with a focus on time series forecasting and predictive analytics
• Perform feature engineering and data model optimization to enhance model accuracy and efficiency
• Continuously evaluate model performance using metrics such as MAPE, RMSE, R², and adjust strategies accordingly
• Build and implement data pipelines using PySpark, SQL, and cloud-based solutions for seamless data integration
• Work on large-scale data integration projects, leveraging tools such as Boomi, SnapLogic, SSIS, or Palantir to extract, transform, and load data
• Utilize Palantir Foundry, Google Cloud, AutoAI, and Google Colab for data modeling, processing, and automation
• Design and maintain data warehouse solutions to support advanced analytics and business intelligence
• Perform complex data transformations using SQL queries and data objects to support AI/ML-driven initiatives
• Collaborate closely with business stakeholders to ensure models align with user expectations and business objectives
• Deploy, monitor, and continuously improve machine learning models in production environments
• Communicate technical findings and insights effectively to both technical and non-technical audiences

Skills

• Proficiency in Python, PySpark, and SQL for data analysis, feature engineering, and model development
• 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 in improving model accuracy
• Hands-on experience in data engineering, working on data pipelines, ETL, and data transformation projects
• Experience using Boomi, SnapLogic, SSIS, or Palantir for data integration
• Proficiency in cloud computing, particularly Google Cloud (BigQuery, Vertex AI, Cloud Functions, etc.)
• 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, with the ability to convey complex concepts to business stakeholders
• Experience with MLOps for continuous deployment, monitoring, and retraining of ML models
• Knowledge of business intelligence and reporting tools for data visualization
• Background in supply chain, logistics, or operational forecasting
• Experience in both batch and real-time data processing architectures
• Ability to optimize SQL queries and data transformations for performance improvements
• Familiarity with object-oriented programming languages such as C#, Java, or JavaScript (not required but beneficial)

Benefits

• Comprehensive Healthcare Plan - Medical, dental, and vision plans start on day one of employment for full-time teammates.
• Educational Assistance - We offer educational assistance to all eligible teammates enrolled in an approved, accredited collegiate program.
• Employer-Paid Life Insurance and Disability - We offer employer-paid life insurance and disability coverage.
• Voluntary Supplemental Programs – We offer additional options to secure your financial future including supplemental life, hospitalization, critical illness, and other insurance programs.
• Support for your Growing Family – Adoption assistance, fertility benefits (in medical plan) and parental leave are available for teammates planning for a family.
• Health Savings Account (HSA) and 401(k) - We offer these voluntary financial programs to help teammates prepare for their future, as well as other voluntary benefits.
• Paid Leave - In addition to sick days and short-term leave, we offer holidays, vacation days, personal days, and additional types of leave – including parental leave.
• Well-Being – Also included in our offering is a Teammate Assistance Program (TAP), Calm Health, Cancer Resources Services, and discount programs – all at no cost to you.

Company Overview

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