JR190530 - Data Science - Sr Software Engineer III - AI - 39440-69313-5 - JR190530

Description:ABOUT ELEVANCE HEALTH Health is a leading health company in America dedicated to improving lives and communities and making healthcare simpler. It is the largest managed health care company in the Blue Cross Blue Shield (BCBS) Association serving more than 45 million lives across 14 states. , President and CEO of Elevance Health has been a consistent name in the Fortune list of most powerful women and currently holds 4th rank on this list.

ABOUT CARELON (CGS) is a healthcare solutions company that is simplifying complex operational processes to improve the health of the healthcare system.

Previously known as Legato Health Technologies, Carelon Global Solutions (hereinafter, CGS) underwent a name change and joined the Carelon family of brands in January 2023, as a fully owned subsidiary of Elevance Health CGS brings together a global team of like-minded innovators who manage and optimize operational processes for health plans as well as providers.

Our brightest minds housed across our global headquarters in Indianapolis as well as Bengaluru, Hyderabad and Gurugram in India, Manila in the Philippines, Limerick in Ireland and San Juan in Puerto Rico bring with them innovative capabilities and an unmatched depth of experience. This global team uniquely positions CGS to enable scalable, next-generation platforms and specialized digital tools that make healthcare operations more practical, effective and efficient.

OUR MISSION & VALUESOur Mission: Improving Lives and Communities. Simplifying Healthcare. Expecting More. Our Values: Leadership | Community | Integrity | Agility | DiversityJOB POSITIONWe are currently looking to hire a Senior Data Scientist with strong analytical skills and a background in US Healthcare.

The ideal candidate should have:A minimum of 5+ years of overall experience in Data science or related fieldsAt least 3 years of hands-on experience in Machine Learning (ML) and Natural Language Processing (NLP)Candidates with proven expertise in healthcare data analytics and a solid understanding of healthcare systems in the US will be preferredJOB RESPONSIBILITYKey

Responsibilities:Demonstrate expertise in programming with a strong background in machine learning and data processing. Possess strong analytical skills to interpret complex healthcare datasets and derive actionable insights. Collaborate closely with AI/ML engineers, data scientists, and product teams to acquire and process data, debug issues, and enhance ML models. Develop and maintain enterprise-grade data pipelines to support state-of-the-art AI/ML models.

Work with diverse data types including structured, semi-structured, and textual data. Communicate effectively and collaborate with cross-functional teams including engineering, product, and customer stakeholders. Operate independently with minimal guidance from product managers and architects, demonstrating strong decision-making capabilities. Embrace complex problems and deliver intelligence-driven solutions with a focus on innovation and scalability.

Quickly understand product

requirements and adapt to evolving business needs and technical environments. Technical

, regression, classification, clustering) using frameworks such as scikit-learn, TensorFlow, and PyTorch. Build robust data preprocessing pipelines to handle missing values, outliers, feature scaling, and dimensionality reduction. Specialize in Large Language Model (LLM) development, including fine-tuning, prompt engineering, and embedding optimization using frameworks like Hugging Face Transformers.

Develop and optimize LLM evaluation frameworks using metrics such as ROUGE, BLEU, and custom human-aligned evaluation techniques. Apply advanced statistical methods including hypothesis testing, confidence intervals, and experimental design to extract insights from complex datasets. Create NLP solutions for text classification, sentiment analysis, and topic modeling using both classical and deep learning approaches. , t-tests, ANOVA).

Implement comprehensive data visualization strategies using tools like Matplotlib, Seaborn, and Plotly to present insights effectively. Maintain detailed documentation of model architectures, experiments, and validation results using tools like MLflow or DVC. Research and apply LLM optimization techniques such as quantization, pruning, and knowledge distillation to improve efficiency.

Stay up to date with the latest advancements in statistical learning, deep learning, and LLM research, with a focus on emerging architectures and training methodologiesQUALIFICATIONBachelor’s or master’s degree in computer science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. Ph. D. preferred.

3+ years of hands-on experience working with large-scale structured and unstructured data to develop data-driven insights and solutions using Machine Learning (ML), Natural Language Processing (NLP), and Computer Vision. 2+ years of experience implementing information retrieval systems at scale, including both keyword-based and semantic search using embeddings. Hands-on experience with cloud platforms such as Google Cloud Platform (GCP) and Amazon Web Services (AWS).

Strong expertise in Large Language Models (LLMs) and Generative AI (GAI), including model development, fine-tuning, and optimization. Demonstrated ability to work independently with minimal supervision and exercise sound judgment in technical and business decision-making. In-depth experience with LLMs (both extractive and generative), including prompt engineering, fine-tuning, and familiarity with open-source ecosystems.

Experience in prompt development and optimization for NLP applications. Strategic thinker with a blend of technical expertise and business acumen, capable of solving complex problems and influencing outcomes. Proficient in creating analytical reports, projections, models, and presentations to support business objectives.  Prior experience in the healthcare industry, with an understanding of domain-specific data and regulatory considerations.

SKILLS AND COMPETENCIESMust have: Machine Learning, LLM, NLP, Python, SQL, Hugging Face, TensorFlow & Keras. Good to have: PyTorch, Spark & any cloud exp. THE CARELON PROMISEAligning with our brand belief of ‘limitless minds are our biggest asset’, we offer a world of limitless opportunities to our associates.

It is our strong belief that one is committed to a role when it is not just what the role entails, but also what lies in its periphery that completes the value circle for an associate. This world of limitless opportunities thrives in an environment that fosters growth and well-being, and gives you purpose and the feeling of belonging. LIFE @ CARELONExtensive focus on learning and developmentAn inspiring culture built on innovation, creativity, and freedom.

Holistic well-beingComprehensive range of rewards and recognitionsCompetitive health and medical insurance coverageBest-in-class amenities and workspacesPolicies designed with associates at the center. EQUAL OPPORTUNITY EMPLOYERCarelon is committed to a diverse and inclusive workplace and is proud to be an equal opportunity employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Reasonable AccommodationOur inclusive culture empowers Carelon to deliver the best results for our customers. We not only celebrate the diversity of our workforce, but we also celebrate the diverse ways we work.

If you have a disability and need accommodation such as an interpreter or a different interview format, please ask for the Reasonable Accommodation Request Form. Disclaimer: Offered designation titles differ*Job Type:Full time.