Primary Responsibilities:Lead and serve as subject matter expert onmultiple projects in forecasting and econometric/statistical modeling Research on leading edge technologies in datamining like machine learning concepts on text mining, NLP, Speech Analytics andimplement in projectsWork closely with senior leadership indevising strategy for pioneering and implementing advanced analytics methods toidentify and solve business problems in healthcareWork closely with project managers throughoutthe solution development lifecycle, from analytical design to implementationWork with the business teams tooperationalize the analytics solution for problems in areas of Fraud Waste andAbuse, Customer Engagement and Experience, Operational Analytics, IndustrialEngineering and Advanced Forecasting techniquesEngage in client communications for all importantfunctions including data understanding/exploration, strategizing solutions etc.Leverage Optum's big data analyticsinfrastructure comprising Hadoop, Revolution R, Visual SAS and SAS Fraudframework to solve complex business problems in Healthcare DomainAcquire understanding of US Healthcare domain
Required Qualifications:Proficient in SAS, R/Python, SQL, MicrosoftOffice Excel/Access/PowerPoint Strong theoretical and practical knowledge ofeconometric/statistical methods like (Linear Regression, Logistic regression,Generalized Linear Model, Survival Analysis, Sampling Techniques, Designof Experiments, Time series analysis, CART, CHAID, Multivariate Techniques likeClustering, Discriminant Analysis, Principal Component Analysis, FactorAnalysis, Multidimensional Scaling, etc.)Strong theoretical and practical knowledge ofany one or two of these machine learning techniques like (Random forest, neuralnetworks, Support vector machines, Gradient Boosting, Bagging Techniques,Genetic Algorithms, etc.)Knowledge of any object oriented programminglanguageExcellent written and oral communicationskillsExcellent problem solving abilities Ability to work well under pressure in afast-paced environment while demonstrating good level of maturityExcellent interpersonal and team skillsProfessional, service oriented, proactive andflexiblePreferred Qualification:Knowledge in C++, C# and/or JavaCareers with Optum. Here's the idea. Webuilt an entire organization around one giant objective; make health care workbetter for everyone. So when it comes to how we use the world's largeaccumulation of health-related information, or guide health and lifestylechoices or manage pharmacy benefits for millions, our first goal is to leapbeyond the status quo and uncover new ways to serve. Optum, part of theUnitedHealth Group family of businesses, brings together some of the greatestminds and most advanced ideas on where health care has to go in order to reachits fullest potential. For you, that means working on high performance teamsagainst sophisticated challenges that matter. Optum, incredible ideas in oneincredible company and a singular opportunity to do your life's bestwork.(sm)Job Keywords: Manager Analytics, Machine Learning,Statistical Modeling, Data Scientist, SAS, R/Python, SQL, Linear Regression, Logistic regression, GeneralizedLinear Model, Survival Analysis, Sampling Techniques, Design of Experiments,Time Series Analysis, CART, CHAID, Clustering, Discriminant Analysis, PrincipalComponent Analysis, Factor Analysis, Multidimensional Scaling, Random Forest, Neural Networks, Support Vector Machines, GradientBoosting, Bagging Techniques, Genetic Algorithms, Noida, Uttar Pradesh
Our mission is to help people live healthier lives and to help make the health system work better for everyone.- We seek to enhance the performance of the health system and improve the overall health and well-being of the people we serve and their communities. - We work with health care professionals and other key partners to expand access to quality health care so people get the care they need... at an affordable price. - We support the physician/patient relationship and empower people with the information, guidance and tools they need to make personal health choices and decisions.