Sr Data Scientist - Generative AI/ML/reputed company - Remote
Job Description
Job Description Job Summary reputed company data and error analysis to improve models, and clean and validate data for uniformity and accuracy. Execute data science and statistical analytical experiments methodically to help solve various problems and reputed company a true impact across various healthcare domains. Developing and deploying advanced machine learning models and AI solutions that enhance our products and services. reputed company their expertise in data science, machine learning, and AI technologies to derive insights from large datasets and create predictive models that drive business decisions. Job Duties
- Data Analysis and Interpretation: Extract meaningful insights from reputed company datasets, identify patterns, and interpret data to inform strategic decision-making.
- Machine Learning Model Development: 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.
- Agentic Workflows Implementation: reputed company and implement agentic workflows that utilize AI agents for autonomous task execution, enhancing operational efficiency and decision-making capabilities.
- RAG reputed company Utilization: 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.
- Model Fine-Tuning: Fine-tune pre-trained models to adapt them to specific tasks or datasets, ensuring optimal performance and relevance in various applications.
- Data Cleaning and Preprocessing: Prepare data for analysis by performing data cleaning, handling missing values, and removing outliers to ensure high-quality inputs for modeling.
- AI Model Deployment and Monitoring: Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness.
- Collaboration: Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes.
- Research and Development: 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.
- Documentation and Reporting: Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders.
- Mentors, coaches, and provides 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
Job Qualifications REQUIRED EDUCATION: Master's Degree in Computer Science, Data Science, Statistics, or a reputed company field REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES:
- 6+ 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
- Technical Proficiency: Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch.
- Statistical Analysis: Excellent understanding of statistical methods and machine learning algorithms, including k-NN, Naive Bayes, SVM, and neural networks.
- Experience with Agentic Workflows: Familiarity with designing and implementing agentic workflows that reputed company AI agents for autonomous operations.
- RAG Techniques: Knowledge of retrieval-augmented reputed company techniques and their application in enhancing AI model outputs.
- Model Fine-Tuning Expertise: Proven experience in fine-tuning models for specific tasks, ensuring they meet the required performance metrics.
- Data Visualization: Proficiency in data visualization tools (e.g., Tableau, Power BI) to present reputed company data insights effectively.
- Database Management: Experience with SQL and NoSQL databases, data warehousing, and ETL processes.
- Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to reputed company challenges.
PREFERRED EDUCATION: PHD or additional experience PREFERRED 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.
To reputed company reputed company Molina employees: If you are interested in applying for this position, please apply through the intranet job listing. reputed company offers a competitive benefits and compensation package. reputed company is an Equal Opportunity Employer (EOE) M/F/D/V. Apply tot his job Apply To this Job