Requirements

• Experience in identifying and resolving complex technical and operational problems within data science department.

• Experience in implementation of GenAI use cases in healthcare industry.

• Ability to understand business requirements and communicate modeling results to the top business leaders, executives, and non-technical audience in a meaningful way.

• Must be a people person, demonstrating an ability to form strong and meaningful connections with team members, product owners, business stakeholders and cross functional teams.

• Be a hands-on individual contributor for critical projects when required in handling modeling techniques and interpretation of results.

• Experience in analyzing and manipulating large, complex, high-dimensional data from numerous sources and building ML/AI predictive models by understanding the data science life cycle.

• Experience in handling unstructured data and utilizing to derive insights using ML algorithms

• Demonstrated experience in statistical modeling techniques such as NLP, linear regression, logistic regression, cluster analysis, feature reduction, LLM, Autoencoders, transformers, outlier detection methodologies , deep learning algorithms, Gen AI algorithms etc.

• Aptitude in performing multiple tasks and dealing with changing deadline requirements. This includes knowing when to escalate issues. Maintains a focused, flexible, organized, and proactive manner.

• Experience in working with data science engineers in extraction of the data required for the modeling, understanding the data, handling data quality issues and model monitoring.

• Experience in working with MLOps team to productionalize the algorithms and test the model output .

• Required to work with offshore team members (Mornings EST) , in leading the projects, acting as a SME in driving the algorithm development as per the business use case and finalizing the models with high quality and validation.

Preferred qualifications:

• Master’s or Doctorate degree in data science/machine learning/statistics/computer science or equivalent with a background in statistics

• 10+ years of relevant work experience including statistical modeling and data mining using large and complex datasets, mostly on healthcare data

• 5+ years of management experience , in managing data scientists.

• Health care experience

• AWS/Azure cloud experience in implementing data science models

• Gen AI experience

• Proficient in Python

​ We have offices in Atlanta GA, Boston MA, Morristown NJ, Plano TX, St. Louis MO, St. Petersburg FL, and Hyderabad, India. We foster a hybrid and remote friendly culture and all of our employee's work locations are based on the needs of the position and determined by the Leadership team. In-office work and activities, if applicable, vary based on the work and team objectives in accordance with Company policies.

As a leading payments company in healthcare, we guide, price, explain, and pay for care on behalf of insurers and their members. We’re Zelis in our pursuit to align the interests of payers, providers, and consumers to deliver a better financial experience and more affordable, transparent care for all. We partner with more than 700 payers, including the top-5 national health plans, BCBS insurers, regional health plans, TPAs and self-insured employers, over 4 million providers, and 100 million members, enabling the healthcare industry to pay for care, with care. Zelis brings adaptive technology, a deeply ingrained service culture, and a comprehensive navigation through adjudication and payment platform to manage the complete payment process.

Commitment to Diversity, Equity, Inclusion, and Belonging At Zelis, we champion diversity, equity, inclusion, and belonging in all aspects of our operations. We embrace the power of diversity and create an environment where people can bring their authentic and best selves to work. We know that a sense of belonging is key not only to your success at Zelis, but also to your ability to bring your best each day.

Equal Employment Opportunity Zelis is proud to be an equal opportunity employer. All applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

We encourage members of traditionally underrepresented communities to apply, even if you do not believe you 100% fit the qualifications of the position, including women, LGBTQIA people, people of color, and people with disabilities.

Accessibility Support

We are dedicated to ensuring our application process is accessible to all candidates. If you are a qualified individual with a disability or a disabled veteran and require a reasonable accommodation with any part of the application and/or interview process, please email TalentAcquisition@zelis.com

SCAM ALERT: There is an active nationwide employment scam which is now using Zelis to garner personal information or financial scams. This site is secure, and any applications made here are with our legitimate partner. If you’re contacted by a Zelis Recruiter, please ensure whomever is contacting you truly represents Zelis Healthcare. We will never asked for the exchange of any money or credit card details during the recruitment process. Please be aware of any suspicious email activity from people who could be pretending to be recruiters or senior professionals at Zelis.

As the leading healthcare payments company, we price, pay and explain care for payers, providers, and healthcare consumers. Zelis was founded on a belief there is a better way to determine the cost of a healthcare claim, manage payment-related data, and make the payment because more affordable and transparent care is good for all of us. We partner with over 700 payers, 1.5 million providers, and millions of members -- enabling the healthcare industry to pay for care, with care.Zelis brings adaptive technology, a deeply ingrained service culture, and an integrated pre-payment through payments platform to manage the complete payment process.