Optum - Data Scientist - Artificial Intelligence/Machine Learning

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities : 1. Drive client value by : - Developing predictive models using various machine learning algorithms/best practices - Developing and running scripts for ML model inference - Testing various hypothesis and presenting back to the technical/non-technical audience - Performing cost benefit analysis for various DS initiatives - Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions - Creating artifacts like STM, HLD, LLD for hardening prototypes into production (prototype to hardening) - Be able to apply knowledge of data modeling, statistics, machine learning, programming, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to more actionable insights - Working with analytics and statistical software and products, such as SQL, R, Python, Hadoop and others to perform analysis and interpret data - Communicate the performance of the machine learning algorithms across an interdisciplinary team 2. Create impact at scale by : - Developing and managing a comprehensive catalog of scalable data services that expand the value of analytical offerings - Looking for opportunities for continuous improvement/optimization of models in production 1. Data Drift 2. Champion (Prod Model) Vs Challenger (Enhanced Dev Model) - Implementing best practices on ML architecture/workflows etc - Collaborating with business intelligence architects and domain analysts to maximize the effectiveness of business intelligence tools, dashboards, and other dynamic reporting capabilities - Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications : - 7+ years of experience in handling/active development in data science projects - 7+ years of experience in Microsoft Azure Cloud, Databricks, Mlflow, Spark SQL & Python - Experience using Machine Learning Algorithms: Linear & Logistic Regression, Time Series analysis, Support Vector Machine, K-Means clustering, K-Nearest Neighbors Decision Trees, Random Forest, Naive Bayes, PCA, SVD, Artificial Neural Networks, Association Rules, Genetic Algorithm, Optimization, Bagging and Boosting algorithms etc. - Understanding for data, schema, data model, machine learning and how to bring efficiency in big data related life cycle - Proficient with hands-on experience in Python coding, Spark SQL and any other programming language along with corresponding language packages - Proven skills to create opportunities using machine learning or artificial intelligence - Proven excellent communication and presentation skills - Proven solid analytical, problem-solving skills - Proven cooperative and team player attitude