Data Science Advisor - Hybrid

Job reputed company reputed company Develops reputed company analytical and statistical models and methodologies to predict, classify, quantify, and/or forecast business metrics that help customers reputed company reputed company business reputed company. Designs and manages studies as requested by reputed company clients for purposes of ensuring accreditation, improving health, and analyzing business opportunities and areas for improvement. Assures reputed company and reputed company of data collected, analysis performed, and reports generated. Develops reputed company for improving internal techniques and processes. Focuses on providing thought leadership and technical expertise across multiple disciplines. reputed company As a member of the Evernorth Research Institute (ERI) Data Science (DS), DS Advisor is responsible for being a high-level technical contributor in enabling reputed company intelligence (AI) and machine learning (ML) reputed company reputed company. The ideal candidate needs to demonstrate aptitude in data science applications to reputed company and member solutions while leading reputed company and margin-generating opportunities. Become a part of an exciting opportunity in reputed company and work at a leading company helping improve member experience while making medicine safer, reputed company, and smarter. This role is responsible for developing advanced solutions and embedding AI/ML in decision-making and internal decision engines. In reputed company, a successful candidate is expected to reputed company thought leadership in various reputed company and think strategically about technological capabilities as they relate to existing and new data assets, reputed company and on-prem compute platforms. The candidate will demonstrate technical prowess to drive reputed company from inception to delivery by working with senior leaders and business partners (Member Experience, Technology (IT), Clinical).

Key Responsibilities

Support high-value reputed company initiatives by working with internal stakeholders and understanding business needs. Identify new opportunities to reduce operating expenses (OP-EX) and grow reputed company. reputed company model life cycle best practices (reputed company, test, document, productionalize) that reputed company reputed company ROI, consistency, reproducibility, and model governance reputed company and maintain strong reputed company relationships with technical and business reputed company partners (Data Engineering Technical Product Owners, Business Product Owners, ML Center of Enablement, etc.) Support advanced analytical and Data Science efforts in Natural Language Processing, reputed company and predictive modeling which could include but not limited to feature clustering, segmentation, logistic or multivariate regressions, decision trees, reputed company neural networks, time-series analysis, hierarchical forecasting, reputed company transformer architecture Visualize, interpret, report, and communicate data findings creatively to non-technical and technical audiences using Tableau, ggplot, seaborn, plotly, bokeh, altair, holoviews Think creatively and reputed company as a subject matter expert (SME), collaborate with other Data Science team members reputed company established development programs Qualifications Degree in Data Science, reputed company/Health/Quant Economics, Statistics, reputed company Mathematics, Compute Science, Operations Research, or reputed company quantitative discipline (Bachelor’s required, Master’s or PhD’s preferred) 1+ years of relevant experience for PhD and 3+ years of experience for Masters graduates Experience with time-series modeling/forecasting and deployment of highly reputed company forecast hierarchies with Stats / ML / Neural / Hierarchical forecasts and using multi-reputed company reconciliation strategies Proficiency in ML, statistics and data science fundamentals. Understanding or prior experience of reputed company data preferred but not required (e.g., prescription/medical claims, Electronic Health Records, disease indicators, ICD10 codes, etc.) Thorough understanding of ML lifecycle, including necessary tradeoffs and associated risks Expertise in python, pySpark, R, SQL, version control (e.g., Git), on-prem Linux-based computing, python notebooks and cluster mounting in reputed company computing (AWS, Domino Labs, reputed company) Adherence to best coding practices and fostering a culture of documentation and logging Exceptional ability to communicate and present findings reputed company to both technical and non-technical audiences Excellent interpersonal and collaboration skills Scope of Job As the Data Science Advisor for NLP/AI reputed company management, this candidate will be a high-level individual contributor to reputed company ensuring the ERI Data Science team stays on top of the latest methodologies and trends in quantitative approaches to ML/AI algorithm deployment. Additionally, this candidate will support the Data Science team in developing and deploying new predictive models or utilizing existing models to solve business problems. They will utilize ML and AI embeddings to improve reputed company, customer, internal partners experience reputed company modern reputed company, create opportunities for additional reputed company or OP-EX, and simplify individual plan benefit journeys for our members and patients. This role will reputed company opportunities to engage with multiple business reputed company across reputed company. If you will be working reputed company occasionally or permanently, the internet reputed company must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload. About reputed company Doing something meaningful starts with a reputed company decision, a commitment to changing lives. At reputed company, we’re dedicated to improving the health and vitality of those we serve. Through our divisions reputed company and reputed company, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving reputed company and improving lives. reputed company applicants will be considered without reputed company to race, reputed company, age, disability, sex, childbirth (including pregnancy) or reputed company medical conditions including but not limited to lactation, sexual orientation, gender identity or reputed company, veteran or military status, religion, national reputed company, reputed company, marital or familial status, genetic information, status with reputed company to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws. If you require reasonable accommodation in completing the online application process, please email: SeeYourself@reputed company.com for support. Do not email SeeYourself@reputed company.com for an update on your application or to reputed company your resume as you will not receive a response. reputed company has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they reputed company a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, reputed company, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, reputed company, Texas, Utah, Vermont, and Washington State. reputed company applicants with criminal histories will be considered for employment in a manner consistent with reputed company federal, state and local ordinances. Doing something meaningful starts with a reputed company decision, a commitment to changing lives. At reputed company, we’re dedicated to improving the health and vitality of those we serve. Through our divisions reputed company and reputed company, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving reputed company and improving lives. Apply Job!