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Data Scientist

Job in Richmond, Henrico County, Virginia, 23214, USA
Listing for: Owens & Minor
Full Time position
Listed on 2026-08-22
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Machine Learning/ ML Engineer, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 110000 - 117000 USD Yearly USD 110000.00 117000.00 YEAR
Job Description & How to Apply Below

Owens & Minor is a global healthcare solutions company providing essential products, services and technology solutions that support care delivery in leading hospitals, health systems and research centers around the world. For over 140 years, Owens & Minor has delivered comfort and confidence behind the scenes, so healthcare stays at the forefront, helping to make each day better for the hospitals, healthcare partners, and communities we serve.

Powered by more than 14,000 teammates worldwide, Owens & Minor exists because every day, everywhere, Life Takes Care™.

Global Reach with a Local Touch
  • 140 years serving healthcare
  • Over 14,000 teammates worldwide
  • Serving healthcare partners in 80 countries
  • Manufacturing facilities in the U.S., Honduras, Mexico, Thailand and Ireland
  • 40 distribution centers
  • Portfolio of 300 propriety and branded product offerings
  • 1,000 branded medical product suppliers
  • 4,000 healthcare partners served
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.
  • The anticipated salary range for this position is $110,000- $117,000 USD Annual. The actual compensation offered may vary based on job related factors such as experience, skills, education and location
Job Description

We are seeking a highly skilled Data Scientist with a strong background in machine learning, data engineering, and model optimization. The ideal candidate should be proficient in Python, PySpark, and SQL, experienced in time series forecasting, feature engineering, and data model performance evaluation, and capable of working with large-scale data integration projects across various domains.

A large part of this role involves building machine learning models that not only meet but exceed user expectations, driving measurable value for the business. The candidate will need to have a strong grasp of data model optimization, feature engineering, and model evaluation metrics to ensure high-performance solutions.

This role also requires experience with cloud platforms, ETL tools, data transformation processes, and working with structured and unstructured data. While not required, familiarity with object-oriented programming languages (C#, Java, JavaScript) is a plus. Strong communication skills are essential for collaborating with cross-functional teams and presenting findings effectively.

Key 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, Snap Logic, SSIS, or Palantir to extract, transform, and load data.
  • Utilize Palantir Foundry, Google Cloud, AutoAI, and Google Colab for data modeling, processing, and…
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