Senior Data Scientist
Zelis is looking for a Senior Data Scientist who will collaborate with our analytics and data engineering teams to collect, analyze, and derive insights from company, client, and publicly available data. The ideal candidate must have strong experience in data mining/data analysis/predictive modeling, using a variety of data tools, building, and implementing models, supervised and unsupervised learning, NLP, feature reduction, cluster analysis and creating/running simulations. They must be comfortable working with a wide range of stakeholders and functional teams.
Essential Duties and Functions
Understanding the business objective and formulating the data science solution to solve the business problem
Extracting and analyzing data: assessing quality, profiling, cleansing, exploratory data analysis and transforming of large and complex datasets to be utilized for developing the statistical models.
Designing and developing different statistical modeling techniques such as regression, classification models, anomaly detection models, clustering models, deep learning models and feature reduction etc. to derive actionable insights.
Build, test, validate models through various relevant methodologies, error metrics and calibration techniques.
Validating the post production model performance and calculating the ROI
Working with cloud analytic platforms on AWS/ Azure using PySpark, Sagemaker, Snowflake, Azure Synapse Analytics, etc.
Performing multiple tasks and dealing with changing deadline requirements. This includes knowing when to escalate issues. Maintaining a focused, flexible, organized, proactive and positive behavior.
Monitoring the projects and mentoring of junior data scientists and providing them guidance when needed.
Providing recommendations to the business based on the insights derived from data science modeling techniques to resolve business problems.
Communicating data science model complex results and the insights to the non-technical audiences.
Interacting with cross-functional technical teams and multiple business stake holders to support integration of data science solutions into the business processes.
6+ years of relevant work experience including 5 years of experience in developing algorithms using data science technologies to evaluate data scenarios and future outcomes.
Proficiency using SQL and Python
Competent in machine learning principles and techniques.
Experience with cloud-based data and AI solutions (Azure or AWS)
Advanced degree in data science, statistics, computer science, or equivalent with a background in statistics.
Healthcare and/or insurance data is a plus.
R, NLP and/or LLM
Familiarity with collaboration environments (e.g. Jupyter notebooks, gitlab ,github etc)
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.
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
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