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Data Scientist​/Machine Learning Engineer

Job in Birmingham, Jefferson County, Alabama, 35275, USA
Listing for: NaphCare, Inc.
Full Time position
Listed on 2026-02-24
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Data Scientist / Machine Learning Engineer

Overview

We are looking for a Data Scientist / Machine Learning Engineer to join our team on-site with the Naph Care Charitable Foundation located in Birmingham, AL 35216.

As a Data Scientist at the Naph Care Charitable Foundation, you will work with advanced hardware, software, and techniques to develop computational algorithms and statistical methods that find patterns and relationships in large volumes of healthcare data. The core contributions of the Data Scientist will consist of collaborating with a multi-disciplinary team, defining experimentation setups, researching data-driven solutions to the problems identified, providing technical mentorship to other team members, and communicating results to stakeholders.

The Data Scientist will join a team of engineers, researchers and product owners to deliver innovative, automated, and technologically advanced healthcare solutions through the integration of predictive models and analytical insight.

US Citizen, OPT/EAD or Green Card candidates only. Candidates local to Birmingham preferred.

Responsibilities
  • Design and implement metrics, pipelines and tools that will enable engineers to achieve their data insights.
  • Make strategic recommendations on data collection, integration and retention incorporating business requirements and knowledge of best practices.
  • Keep up to date on related technologies and frameworks, and propose new ones that the team could leverage.
  • Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
  • Summarize and clearly communicate data analysis assumptions and results.
  • Identify shifts, determine new ways of looking at data, and creatively drive improvements in products.
  • Build and prototype analysis pipelines to iteratively test hypothesis.
  • Interact cross-functionally, making business recommendations to stakeholders.
Qualifications
  • Experience with distributed processing technologies
  • Experience with human-in-the-loop machine learning solutions
  • Medical Industry experience
  • Proven excellence in leading and contributing to Data Science projects.
  • Proven track record of pushing state of the art in the data science / machine learning space.
  • Strong communication, interpersonal skills and the fortitude to accomplish your goals.
  • Experience in leading discovery with stakeholders to identify requirements and the expected outcomes.
  • Capability to educate the organization both from technical and the business perspectives on new approaches, such as testing hypotheses and statistical validation of results.
  • Demonstrate the following scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, fairness and aptitude for original research.
  • Comfortable working in a team environment.
  • Expert level in machine learning architecture and model development.
  • Strong working knowledge of statistical frameworks (Pandas, Num Py/Sci Py, scikit-learn) (3+ years)
  • Strong working knowledge of machine learning frameworks (PyTorch, Tensor Flow) (3+ years)
  • Mastery in building SQL queries
  • Experience monitoring the full life cycle of models
  • Experience with ETL pipelines
  • Strong verbal and written communication skills
  • Strong problem-solving skills to help refine problem statements and figure out how to solve them with the available data
  • Curious and driven to solve complex problems
  • Smart but humble, action oriented
Required Education

Ph.D. or Masters in the fields of Data Science, Engineering, Analytics, Mathematics, Computer Science, Statistics, Machine Learning, or other quantitative fields.

About Naph Care

Naph Care is a family owned, healthcare technology company that has been delivering high quality healthcare to correctional facilities across the nation for over 35 years. Come join our team of over 7000 employees and growing! Naph Care pays well, offers outstanding benefits, and has an incredibly engaged corporate support team to make sure you have what you need to be truly excellent at what you do.

At Naph Care Charitable Foundation, our vision is…

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