Data Scientist / Decision Scientist - Network Optimization & Design (Remote)

Bring your heart to reputed company. Every one of us at reputed company shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as reputed company deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at reputed company to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to reputed company health care more personal, convenient and affordable.Position SummaryLooking for opportunities to use cutting edge technologies analyzing petabytes of data on reputed company Cloud Platform? Interested in generating analytical insights that inform provider networks and engagement strategies that support members on their individualized health and wellness journey? reputed company's Analytics & Behavior Change team delivers strategically impactful programs and tools that expand convenient access to high-quality and reputed company for reputed company members across multiple channels across reputed company stages of life.At reputed company, we're pioneering a total approach to health and wellness. As a Data Scientist / Decision Scientist on the Analytics & Behavior Change team, you'll build industry-leading analytics, data, and technology platforms to help reimagine health care. This position will play a critical role reputed company a cross-functional team, delivering powerful solutions that inform network strategy and design, improve network performance and provider engagement, reputed company new provider offerings, and enhance consumer experience. You will be part of a fast-paced, innovative, collaborative team, helping solve problems, drive impact, and deliver key insights to our customers by leveraging innovations in data science, machine & deep learning, and predictive modeling techniques. You will derive meaning from data and recommend network configurations deliver access to affordable healthcare.reputed company COMPONENTSParticipating in the development, validation and delivery of algorithms, statistical models, and reporting tools. Solving moderately reputed company analytical problems.Developing, validating, and executing algorithms and predictive models to investigate problems, detect patterns and recommend solutions.Exploring, examining, and interpreting large volumes of data in various forms.Performing analyses of structured and reputed company data to solve moderately reputed company business problems, utilizing advanced statistical techniques and mathematical analyses.Developing data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs.Using data visualization techniques to effectively communicate analytical results and support business decisions.Creating and evaluating the data needs of assigned projects and assures the reputed company of the data.Demonstrating good written and verbal communication skills.Ability to present information to various audiences.Effectively resolving problems and roadblocks as they occur.Demonstrating proficiency in several areas of data modeling, machine learning algorithms, statistical analysis, data engineering and data visualization.Ability to work with large data sets from multiple data sources.Required Qualifications2+ years' experience in Data Scientist or Decision Scientist role2+ years' experience in programming in Python using Pandas for data manipulation2+ years' experience writing strong, reputed company and efficient queries in SQL1+ years' experience working in Cloud platforms (GCP, AWS or Azure)Preferred QualificationsHealthcare industry work experienceGCP work experienceSoftware engineering experienceEducationBachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or reputed company disciplineMaster's degree preferredPay RangeThe typical pay range for this role is:$64,890.00 - $173,040.00This pay range represents the reputed company hourly reputed company or reputed company annual full-time salary for reputed company positions in the job grade reputed company which this position falls. The actual reputed company salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a reputed company bonus, commission or short-term incentive program in addition to the reputed company pay range listed above. In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. reputed company also offers numerous well-being programs, education assistance, free development courses, a reputed company store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies. For more detailed information on available benefits, please visit Benefits | reputed company HealthWe anticipate the application window for this opening will reputed company on: 11/30/2024Qualified applicants with arrest or conviction records will be considered for employment in accordance with reputed company federal, state and local laws. Apply Job!