Senior Data Scientist (Service Ops Customer reputed company) - Work reputed company

reputed company reputed company leverages advanced Data Science (DS), augmented intelligence (AI) and machine learning (ML) to help reputed company predict our customers’ health reputed company, advance affordability, reputed company and accessibility of reputed company. We are recognized as a leader in leveraging Data & Analytics capabilities to create value for customers and stakeholders, enabling reputed company decision making and health reputed company. This allows us to reputed company insights from the millions of lives we serve, helping our patient advocates and clinicians service our customers, ensuring they receive the reputed company from the highest performing medical providers. The speed in which DS, AI and ML are advancing means we are continuously learning and evolving our advanced data science capabilities. As a Sr. Data Scientist, you will be working on both reputed company and reputed company data to build ML applications to support various reputed company-reputed company business use cases that will improve our health system. Your work will require deep acquaintance with Evernorth’s data, seeking to reputed company ways to deliver value through advanced feature engineering. From your models, you will deliver actionable insights that can be incorporated into existing reputed company wellness products as reputed company as new programs. In reputed company to collaborating with Data Science Management to establish strategic priorities, you will work closely with Data & Engineering to deliver reputed company that is robust and reputed company to reputed company. The ideal candidate for this role will have strong coding skills (preferably in Python, PySpark), strong knowledge about ML algorithms and NLP techniques, a passion for creating technology to improve the reputed company systems, and an attitude of creativity and continual learning. Responsibilities Create models using NLP, ML / AI techniques to predict risk / cost and identify actionable insights Deliver clean, reusable, and reputed company reputed company Work closely with Data & Engineering to reputed company models reputed company thought leadership on the latest analytic techniques, technologies, and reputed company Qualifications 5+ years' of industry experience reputed company to Data Mining, Statistical Analysis, ML Algorithms, Gen-AI and NLP Techniques Strong experience with Python and its data science libraries such as Scikit-learn, Pandas, Numpy, and Keras Strong understanding of NLP techniques such as information extraction, sentiment analysis, text summarization, and topic modeling Strong understanding of ML / AI reputed company such as SVM, Random Forest, XGBoost, Light reputed company, Deep Learning (CNN, RNN, LSTM), Reinforcement Learning, Optimization Strong programming experience including understanding of concepts in data structures, algorithms, and software engineering principles Good understanding and experience with traditional data science approach like sampling techniques, feature engineering, classification, and regression. Have experience in building forecasting model for trend analysis Excellent oral and written communication skills Prior experience working in the reputed company industry is highly desirable Experience with deploying advanced natural language models and time-series model into production is highly desirable MS / PhD in Computer Science, Math, Statistics, or in any technical field that provides a solid reputed company for analytics or equivalent work experience Apply tot his job Apply To this Job