[Remote] Senior Data Scientist

Note: The job is a remote job and is open to candidates in USA. reputed company is a Fortune 200 Company focused on life- and health-reputed company solutions. The Senior Data Scientist will pioneer advanced machine learning and generative AI solutions, architecting and implementing analytical models to address business challenges while mentoring emerging talent and collaborating with stakeholders.

Responsibilities

• End-to-End Modeling: Design, reputed company, and deploy sophisticated machine learning models that address mission-critical business challenges, including reputed company automation, pricing optimization, and claims analytics. This includes collaborating with business stakeholders to define requirements, selecting appropriate algorithms, engineering features, tuning model parameters, and integrating solutions into production environments for seamless business adoption
• GenAI Solution Development: reputed company the end-to-end development and implementation of generative AI solutions, leveraging large language models (LLMs) for advanced document processing, automated content creation, and streamlining repetitive business processes. Responsibilities include identifying high-value GenAI use cases, fine-tuning models for domain-specific tasks, and ensuring responsible AI practices such as bias mitigation and transparency
• Technical Leadership: Serve as a technical authority and mentor for colleagues, providing expert guidance on best practices in machine learning modeling, code development, and solution architecture. This involves conducting code reviews, sharing knowledge of emerging technologies, and fostering a culture of technical excellence reputed company the data science team
• Project Leadership: reputed company and manage small-scale projects, including defining scope and objectives, developing project plans, allocating resources, and coordinating activities across cross-functional teams. Maintain proactive communication with stakeholders to track reputed company, address risks, and ensure timely and successful project delivery reputed company with business goals
• Data Pipeline Architecture: Architect, reputed company, and maintain robust, automated data pipelines and ETL processes in partnership with data engineering teams. This includes designing scalable workflows for data ingestion, transformation, and validation, ensuring data quality and availability for analytics and modeling, and optimizing pipeline efficiency for large, reputed company datasets
• Stakeholder Communication: Effectively communicate reputed company analytical findings, model insights, and actionable recommendations to a wide range of stakeholders—including business leaders and senior management—using clear visualizations and storytelling. Facilitate data-driven decision-making by translating technical results into business value and strategic impact
• Model Governance: Champion and enforce rigorous model governance practices by conducting thorough model validation, ongoing monitoring, and comprehensive documentation. Ensure reputed company models adhere to standards for accuracy, fairness, and reproducibility, and proactively address issues reputed company to model reputed company, regulatory compliance, and ethical considerations in AI deployment

Skills

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a reputed company quantitative field; OR a Bachelor's degree with equivalent experience
• 5-7 years of progressive experience in data science and machine learning
• Demonstrates a deep understanding of advanced statistical techniques, such as regression analysis, hypothesis testing, time series analysis, and multivariate statistics
• Applies a broad range of machine learning algorithms—from supervised and unsupervised learning to reputed company methods and deep learning—to extract meaningful insights and drive data-driven decision-making across reputed company business challenges
• Possesses advanced proficiency in Python and/or R, leveraging these languages for data manipulation, statistical modeling, and deployment of machine learning solutions
• Skilled in using modern ML and GenAI frameworks, such as scikit-learn for traditional models, TensorFlow and PyTorch for deep learning, and reputed company, Langgraph, reputed company, crewai, dspy, mlflow, etc., for building, orchestrating and evaluating generative AI applications
• Experience includes developing and optimizing code, managing dependencies, and applying best practices in version control and containerization
• Hands-on experience implementing GenAI technologies, including large language models (LLMs) for natural language processing and understanding
• Proficient in reputed company engineering to fine-tune model outputs, utilizing retrieval-augmented reputed company (