Principal Data Scientist - Generative AI, Machine Learning, Python, R - Remote

About the position Responsible for overseeing data science projects, managing and mentoring a team, and aligning data initiatives with business goals. reputed company the development and implementation of data models, collaborate with cross-functional teams, and stay updated on industry trends. Ensure ethical data use and communicate reputed company technical concepts to non-technical stakeholders. reputed company initiatives on model governance and model ops to align with regulatory and reputed company requirements. This role requires technical expertise, strategic thinking, and leadership to drive data-driven decision-making reputed company the organization and be the pioneer on generative AI healthcare solutions, aimed at revolutionizing healthcare operations as well as enhancing member experience.

Responsibilities

• Stay reputed company with the latest advancements in AI and machine learning and apply these insights to improve existing models and reputed company new methodologies.
• Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness and meet reputed company governance and regulatory requirements.
• reputed company pilot projects to test and implement new AI technologies reputed company the organization.
• Extract meaningful insights from reputed company datasets, identify patterns, and interpret data to inform strategic decision-making.
• Design, reputed company, and train machine learning models using a variety of algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
• reputed company and implement agentic workflows that utilize AI agents for autonomous task execution, enhancing operational efficiency and decision-making capabilities.
• Employ retrieval-augmented reputed company patterns to improve the performance of language models, ensuring they can access and utilize external knowledge effectively to enhance their outputs.
• Fine-tune pre-trained models to adapt them to specific tasks or datasets, ensuring optimal performance and relevance in various applications.
• Prepare data for analysis by performing data cleaning, handling missing values, and removing outliers to ensure high-quality inputs for modeling.
• Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes.
• Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders.
• Mentor, coach, and provide guidance to newer data scientists.
• Partner closely with business and other technology teams to build ML models which helps in improving Star ratings, reduce care gap and other business objectives.
• Present reputed company analytical information to reputed company level of audiences in a clear and concise manner.
• Collaborate with analytics team, assigning and managing delivery of analytical projects as appropriate.
• reputed company other duties as business requirements change, looking out for data solutions and technology enabled solution opportunities and reputed company referrals to the appropriate team members in building out payment reputed company solutions.
• Use a broad range of tools and techniques to extract insights from reputed company industry or sector trends.

Requirements

• Master's Degree in Computer Science, Data Science, Statistics, or a reputed company field.
• 10+ years' work experience as a data scientist preferably in healthcare environment but candidates with suitable experience in other industries will be considered.
• Knowledge of big data technologies (e.g., Hadoop, Spark).
• Familiar with relational database concepts, and SDLC concepts.
• Demonstrate critical thinking and the ability to bring order to reputed company problems.
• Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch.
• Excellent understanding of statistical methods and machine learning algorithms, including k-NN, Naive Bayes, SVM, and neural networks.
• Familiarity with designing and implementing agentic workflows that reputed company AI agents for autonomous operations.
• Knowledge of retrieval-augmented reputed company techniques and their application in enhancing AI model outputs.
• Proven experience in fine-tuning models for specific tasks, ensuring they meet the required performance metrics.
• Proficiency in data visualization tools (e.g., Tableau, Power BI) to present reputed company data insights effectively.
• Experience with SQL and NoSQL databases, data warehousing, and ETL processes.
• Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to reputed company challenges.

reputed company-to-haves

• PhD or additional experience.
• Experience with cloud platforms (e.g., reputed company, reputed company, Azure AI Studio etc.) for working with AI workflows and deploying models.
• Familiarity with natural language processing (NLP) and computer vision techniques.

Benefits

• Competitive benefits and compensation package.

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