Data Science Senior Advisor (Interoperability Engineering & Analytics)

Data Science Senior Advisor (Interoperability Engineering & Analytics) - Work at Home

Summary

The inQbator AI team has a mature ecosystem of solutions currently deployed to production that use state of the art natural language processing and machine learning techniques to bring tangible improvements to healthcare processes. Our near-term focus is on building solutions to address problems within the domain of prior-authorization, and our long-term problem space is incredibly broad and open-ended. As such, to identify the next generation of problems that we will tackle, we interact regularly with a diverse and highly matrixed group of stakeholders that includes teams from multiple divisions across the enterprise, as well as clinicians and hospital networks with whom we have partnerships and ultimately the patients we seek to help.

Responsibilities

1. Work closely and interactively with our data science and product teams to build data pipelines which support the inQbator.
2. Migrate legacy data ETL pipelines to cloud-based data platforms (Databricks, Snowflake).
3. Develop new data resources which can be used for ML/NLP or product innovation.
4. Collaborate with various data stakeholders to identify internal and external healthcare data resources which can be used by the inQbator.
5. Establish data engineering best practices for junior data engineers and data analysts.
6. Establish quality metrics which can be used for identifying value of inQbator projects.
7. Provide BI support for new inQbator innovations.
8. Keep current with industry advances in data engineering.
9. Solve problems that will have a positive impact on the health and well-being of many people.

Qualifications

1. 5+ years' of relevant experience building and managing sophisticated ETL pipelines.
2. High degree of proficiency with SQL.
3. Experience with cloud-based data platforms (Databricks, Azure).
4. Familiar with git source control.
5. Experience with Python and Tableau is preferred.
6. Experience building and managing data model architecture is highly desirable.
7. Experience working with ML or NLP teams is highly desirable.
8. Experience with healthcare data (claims, EMR) and/or Healthcare Utilization Management is highly desirable.
9. Degree in Computer Science, Engineering, Information Systems, Math or related technical field highly desired; Master's degree preferred.

If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.

This position offers an annual salary of 121,400 - 202,400 USD / yearly, depending on relevant factors, including experience and geographic location. This role is also anticipated to be eligible to participate in an annual bonus plan.

We want you to be healthy, balanced, and feel secure. That's why you'll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you'll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k) with company match, company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays.

About Evernorth Health Services

Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.