Data Scientist / Machine Learning Engineer

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
• 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, NumPy/SciPy, scikit-learn) (3+ years)
• Strong working knowledge of machine learning frameworks (PyTorch, TensorFlow) (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.

NaphCare

NaphCare 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!

NaphCare 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.

NaphCare Full Time Benefits:

• Prescriptions free of charge through our health plan
• Health, dental & vision insurance that starts day one
• We offer low cost benefits to our employees and their families
• Employment Assistance Program (EAP) services
• 100% vested 401K and Roth with company contribution that starts day one
• Tuition Assistance
• Referral bonuses
• On-site education
• Free Continuing Education!

At NaphCare, you'll play a critical role in our continuing mission to be the leading provider of quality healthcare in the correctional industry. If you want a career that will make a difference, choose the company that is different. We support your growth and internal promotion. Once hired, we encourage our employees to continue to seek opportunities for advancement and leadership.

Equal Opportunity Employer: disability/veteran