Principal Data Scientist

Overview of Providence:

At Providence, we use our voice to advocate for vulnerable populations and needed reforms in health care. We pursue innovative ways to transform health care by keeping people healthy, and making our services more convenient, accessible and affordable for all. In an increasingly uncertain world, we are committed to high-quality, compassionate health care for everyone—regardless of coverage or ability to pay. We help people and communities benefit from the best health care model for the future—today.

Together, our 119,000-plus caregivers/employees serve in 51 hospitals, more than 1000 clinics and a comprehensive range of health and social services across Alaska, California, Montana, New Mexico, Oregon, Texas and Washington in United States.

Providence Information Service (commonly known as Information technology) is aimed to digitally enable our vision of Health for a better world. We make use of multiple technological stack spread across Microsoft, Oracle, JAVA, Python and many new open sources.

Providence Global Centre recently launched in Hyderabad, India as Global Capability Centre for Providence looking to leverage the India talent to help meet our global vision and scale our Information Services and products to the world of Cloud.

How is this team contributing to the vision of Providence

Healthcare Intelligence is the pillar that focuses on creating intelligent products within Providence and provides unique opportunities in Product Development, Product Design, Data Engineering, Operations, Data Science, BI Reporting and Data Analytics on cloud stack. We are a group of professionals who work towards enabling decisions that improve patient and caregiver experience.

Now, as we face a new frontier—a changing health care landscape - we are looking for pioneering and compassionate individuals to plan for the next century and who can work on re-imagining the future of care with cutting-edge technologies such as big data, machine learning, artificial intelligence, IoT, and blockchain that enhance patient outcomes and experiences and more importantly, drive a lasting social impact.

What will you be responsible for

Data Scientists provide support to mission & business critical operations across the system. They are responsible for applying analytical creativity to solving problems using data, and for building production quality, scalable tech and platforms to support these solutions. Analytical tools may include (but are not necessarily limited to) statistical analysis and modeling, machine/deep learning, process optimization/automation, natural language processing, image recognition, forecasting, and geospatial analytics. Data Scientists are required to be intensively collaborative and need to work efficiently with teams and individuals across the system.

As a Principal Data Scientist, you will

• Contribute to creating a robust vision for AI/ML team within Providence India. Maintain healthy backlog of futuristic product features and technical capabilities. Perform and set review standards, own complicated modules, and help the team with design and development approach as needed.
• Guide other Data Scientists by coaching and mentoring team members to scale up their technical abilities.
• Engage with stakeholders globally and influence decisions related to product goals, features, and priorities.
• Champion healthy team culture aligned with the mission and values of Providence i.e., Integrity, Compassion, Dignity, Respect, Justice
• Create forecasting and machine learning models by working along with business analyst, product managers and data analytics engineers in deriving insights.
• Show an ever-learning mindset to strengthen understanding of global health care systems. Participate and contribute to industry learning and stay up to date with latest trends and findings.

Who are we looking for

• 12 years + industry experience with an educational background in Computer Science, Statistics, Physics, Economics, Analytics, Biology, or other science, math, and technology intensive field. (Bachelor's/Master's Degree)
• Should possess strong math, technology, business, and communication skills (and should be exceptional in at least one of those areas).
• Experience in conducting diverse statistical analyses of complex, high dimensional datasets and preparing reports and visualizations to support findings. Demonstrated expertise in Machine Learning via Python or R.
• Experience in developing & deploying machine learning models using modern, open-source tools and frameworks. Experience in Deep learning is a plus
• Excellent ability to design, prioritize, plan, and track large scale products.
• Background in healthcare system is a plus.