Data Scientist​/Machine Learning Engineer

Data Scientist / Machine Learning Engineer

Location:

Birmingham, AL, US

Job :

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. Candidates local to Birmingham preferred. US Citizen or Green Card candidates only.

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 will consist of collaborating with a multidisciplinary team, defining experimentation setups, researching data‑driven solutions to identified problems, providing technical mentorship, and communicating results to stakeholders.

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

• Design and implement metrics, pipelines, and tools that enable engineers to achieve data insights.
• Make strategic recommendations on data collection, integration, and retention incorporating business requirements and 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 non‑routine analysis problems, applying advanced analytical methods. Conduct data gathering, requirements specification, processing, analysis, 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 hypotheses.
• Interact cross‑functionally, making business recommendations to stakeholders.

• 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 and interpersonal skills and the fortitude to accomplish goals.
• Experience leading discovery with stakeholders to identify requirements and expected outcomes.
• Capability to educate the organization both from technical and business perspectives on new approaches, such as testing hypotheses and validating results.
• Demonstrate scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, fairness.
• Comfortable working in a team environment.
• Expert level in machine learning architecture and model development.
• Strong knowledge of statistical frameworks (Pandas, Num Py/Sci Py, scikit‑learn) (3+ years).
• Strong 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 refine problem statements and devise solutions with available data.
• Curious and driven to solve complex problems.
• Smart but humble, action‑oriented.

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

• Prescriptions free of charge through our health plan.
• Health, dental & vision insurance that starts day one.
• Low cost benefits to employees and families.
• Employment Assistance Program (EAP) services.
• 100% vested 401(k) and Roth with company contribution starting day one.
• Tuition assistance.
• Referral bonuses.
• On‑site education.
• Free continuing education.
• Term life insurance at no cost.
• Generous paid time off & paid holidays.

Equal Opportunity

Employer:

disability/veteran