Job Position : We are currently looking to hire a Senior Data Scientist with robust 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 fields - At 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 preferredKey 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 Responsibilities : - Design and implement statistical and machine learning models (e.g., 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.- Design and execute A/B testing strategies, including sample size determination, metric selection, and statistical analysis (e.g., 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 methodologiesQualifications : - Bachelors or masters degree in computer science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. Ph.D. preferred.Experience : - 5+ years of overall professional experience in data science, analytics,



or related fields.- 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.- Proven 3+ years of experience with core technologies including Python (mandatory), SQL, Hugging Face, TensorFlow, Keras, PyTorch, and Apache Spark.- 3+ years of experience in developing NLP models, with a strong focus on transformer-based architectures.- 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 Model (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.- Excellent written and verbal communication skills, with strong stakeholder management capabilities.- Prior experience in the healthcare industry, with an understanding of domain-specific data and regulatory considerations.Skills & Competencies : - Must have : Machine Learning, LLM, NLP, Python, SQL, Hugging Face, TensorFlow & Keras.- Good to have : PyTorch, Spark & any cloud exp. (ref:hirist.tech)

📌 Carelon - Senior Data Scientist (Bengaluru)
🏢 Carelon Global Solutions India
📍 Bengaluru