Data Scientist — ML, Time Series & Cloud Pipelines

Owens & Minor; Richmond (VA); On-site; USD 110,000 - 117,000; Full time

Benefits offered by this job

Healthcare benefits from day one

Educational assistance

Employer-paid life insurance

Parental leave

Health Savings Account (HSA) and 401(k

Paid leave

Job summary

Owens & Minor is seeking a highly skilled Data Scientist with expertise in machine learning, data engineering, and model optimization. The role requires proficiency in Python, PySpark, and SQL, with hands-on experience in time series forecasting, feature engineering, and model evaluation.

You will work across cloud platforms and data integration projects to deliver scalable analytics solutions. The position emphasizes collaboration with cross-functional teams, deploying models to production, and

Qualifications

• Strong background in machine learning, data engineering, and model optimization.
• Proficient in Python, PySpark, and SQL with experience in time series forecasting.
• Experience building and optimizing data pipelines and ETL processes.

Responsibilities

• Develop and optimize machine learning models focusing on time series forecasting and predictive analytics.
• Perform feature engineering and data model optimization to improve accuracy and efficiency.
• Continuously evaluate model performance using metrics and adjust strategies accordingly.
• Build and implement data pipelines using PySpark, SQL, and cloud-based solutions for data integration.
• Collaborate with stakeholders to ensure models align with business objectives and are deployed in production.
• Deploy, monitor, and retrain ML models in production environments; communicate findings to technical and non-technical audiences.

Skills

Python

PySpark

SQL

Time series forecasting

ARIMA

Prophet

LSTMs

ML model evaluation

Data pipelines

Cloud computing

Tools

Boomi

SnapLogic

SSIS

Palantir Foundry

BigQuery

Vertex AI

Cloud Functions

Google Colab

Job description

Owens & Minor is seeking a highly skilled Data Scientist with expertise in machine learning, data engineering, and model optimization. The role requires proficiency in Python, PySpark, and SQL, with hands-on experience in time series forecasting, feature engineering, and model evaluation.

You will work across cloud platforms and data integration projects to deliver scalable analytics solutions. The position emphasizes collaboration with cross-functional teams, deploying models to production, and