ABOUT EVERNORTH: Evernorth exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable and simple health care,
we solve the problems others don t, won t or can t. Our innovation hub in India will allow us to work with the right talent, expand our global footprint, improve our competitive stance, and better deliver on our promises to stakeholders. We are passionate about making healthcare better by delivering world-class solutions that make a real difference. We are always looking upward. And that starts with finding the right talent to help us get there.
Section 2: Position Overview Provide a concise summary of the position, its purpose, and its importance within the company.
Section 1: Job Title Clearly state the position s title to convey the role and level of responsibility.
HIH - Data Science Lead Analyst Job Description Excited to grow your careerWe value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success. Do you have a passion for machine learning / artificial intelligenceAre you excited about using your skills to help individuals improve their healthEvernorth s Data Science Center of Excellence applies advanced Data Science (DS), Artificial Intelligence (AI) and Machine Learning (ML) to produce solutions that reduce customer health costs and improve outcomes and business processes. Using state of the art AI tools, DS platforms, ML libraries, and optimization tools, we leverage internal, external, online and offline data sources comprising clinical, provider Rx data, and behavioral/attitudinal data. Role Summary Using your knowledge of ML / AI, you will build technologies to generate descriptive and predictive insights on how we can better serve throughout their customer journey, with digital assets we have. Your work will require deep acquaintance with Evernorth s data, seeking to find ways to deliver value through advanced feature engineering. From your models, you will deliver actionable insights that can be incorporated into existing digital and marketing solutions as well as informing on new strategy. In addition to collaborating with Data Science Management and Business Analytics partners to establish strategic priorities, you will work closely with Data Engineering to deliver code that is robust and ready to scale.
Section 3: Responsibilities Clearly outline the primary duties and tasks associated with the role. Use action verbs (i.e., lead, drive, analyze, assess, research, etc.) to convey expectations.
Data acquisition, QC and exploratory analysis on transactional member dataCreate models using ML / AI techniques to predict risk and identify actionable insightsDeliver clean, reusable, and scalable codeWork closely with Data Engineering to deploy modelsPartner with senior team members on the latest analytic techniques, technologies, and methods
Section 4: Qualifications Specify the skills, experience, and education required for the role. Differentiate between the must-haves and nice-to-haves . Required skills : List the specific skills required for the job, including technical, leadership skills, and any industry-specific skills. Required Experience : Clearly state any mandatory requirements, such as formal education, certifications, licenses, or specific years of experience. Desired Experience : List any nice-to-have experience, including industry experience, exposure to specific technologies, certifications, etc.
Qualifications Required Education MS/PhD in Computer Science, Math, Statistics, or in any technical field that provides a solid basis for analytics or equivalent work experience Required Skills The ideal candidate for this role will have strong coding skills in Python, a passion for creating technology to improve the healthcare systems, and an attitude of creativity and continual learning. Required Experience 5-8 years of industry experience with Data Mining, Statistical Analysis and leading ML / AI methods; XGBoost, Light GBM, deep learning, reinforcement learning, optimization required5-8 years of experience with Python, PySpark and its data science librariesExcellent oral and written communication skills Desired Experience Prior experience working in the healthcare industry, services ops or digital domainExperience with deploying predictive models into productionExperience working with business stakeholders
These two sections will be standardized in the JD template and made not editable.
Location Hours of Work Full-time position, working 40 hours per week. Expected overlap with US hours as appropriatePrimarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH)
Equal Opportunity Statement
