nThrive Hiring for Lead machine learning engineer at Remote Full Time

nThrive® provides leading healthcare revenue cycle management SaaS solutions, offering patient access, charge integrity, claims management, contract management, machine learning & robotic process automation, data & analytics, and education software solutions to more than 900 hospitals and health systems in North America, including 37 of the 40 largest healthcare providers in the U.S. nThrive’s end-to-end software platform helps healthcare organizations increase revenue, reduce costs, expand cash collections, and ensure regulatory compliance across the entire revenue cycle continuum. For more information on nThrive, please visit www.nThrive.com.

Responsibilities

• Lead, design and implement predictive analytics solutions in a production environment, leveraging a variety of statistical models and machine learning algorithms
• Design, develop and deploy reliable solutions for data analysis and customer data delivery using large datasets (using languages such as PySpark, Python, R, SQL, Hive).
• Deliver insights and recommendations in succinct and compelling presentations for internal and external customers, including an executive audience
• Collaborate effectively with the team and across cross-functional stakeholders on initiatives.

• Serve as a subject matter expert on the team for machine learning, data engineering and analytics

• Mentor and train junior colleagues
• Model a high-performance culture and cultivate an environment that promotes critical thinking, problem-solving, learning, collaboration, and experimentation within the team.

Requirements

• Bachelor’s degree in engineering, statistics, mathematics, operations research, or similar quantitative field.
• 5+ years of professional experience delivering analytics engineering or data science in production; total of ten (10) years of professional experience in analytics or software engineering
• Experienced in leading analytics client engagements with excellent communication skills, teamwork, and delivering solutions working on Agile teams.
• Proven track record in all phases of the Software Development Lifecycle delivering reliable and scalable machine learning systems using very large and varied datasets.
• Hands-on expertise in Python, PySpark, or similar distributed computing languages. Expert in R and SQL
• Expert with Linux Bash, PowerShell, or similar scripting languages
• Experience in open-source AI/ML tools, frameworks technologies (for example, TensorFlow, PyTorch, scikit-learn, Apache MXnet, Spark MLlib, etc.)

• Experience in modeling techniques including, but not limited to, regressions, neural networks, decision trees, clustering, pattern recognition, Bayesian inference, deep learning, supervised learning, unsupervised learning, and NLP

• Experience with Big Data technologies, cloud-based analytics, non-relational datastores, data visualization tools, and open-source tools for data processing

Preferred skills

• Proficiency with cloud-based analytics or data processing tools (Azure preferred)
• Experience in containerization and infrastructure as code is a plus.
• Experience with predictive analytics in Healthcare, Insurance or Consumer Credit industry
• Master’s degree in Computer Science, Mathematics or a related field is a plus

Job Type: Full-time

Pay: $130,000.00 – $160,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Employee discount
• Flexible schedule
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Parental leave
• Professional development assistance
• Referral program
• Retirement plan
• Tuition reimbursement
• Vision insurance

Schedule:

Application Question(s):

• Do you require sponsorship?

Education:

Work Location: Remote