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At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.Position SummaryDo things that matter. Diabetes, congestive heart failure, COPD, back pain, asthma, pulmonary fibrosis, chronic kidney disease, Alzheimer's, multiple sclerosis, cancer... everyone knows someone affected by these conditions. Our goal is to decrease cost and improve health for members with chronic disease. We do this by using data science and advanced analytics (e.g., condition specific predictive models and clinical data mining) to improve their care journeys and outcomes, focusing on the right members getting the right interventions at the right time. Mission aligned to improve health. With 1,000+ health hubs, 1,100+ minute clinics, 23M+ lives insured by Aetna, and 100M+ lives with pharmacy benefits coverage through Caremark. With this unique collection of assets, CVS Health has an unparalleled platform to make a significant impact on healthcare in the US and beyond. We have actual big data. The combined data assets of CVS are massive: medical and pharmacy claims, health care records, commercial store, and transactional data for 100M+ members. The scale of our data will allow you to design and test powerful experiments and challenge yourself to innovate in ways that others simply cannot. An elite team. You’ll be joining a team of MDs, PhDs, MBAs, and top analytics professionals that bring their clinical, technical, and economic experience to bear on some of the toughest targets in healthcare. Our PBM Analytics team is tasked with optimizing our ability to engage with our 100M+ Caremark members to help them make better healthcare decisions, particularly relating to the medications they take. Our goals are to improve clinical outcomes and to help members gain more transparency into the healthcare system so that they can save money and have better experiences. To do this we’ve developed a leading capability that combines data science, agile marketing, behavioral economics, large scale experimentation, and optimization of our digital capabilities. Through this we message millions of members each year about real challenges they face and help them become healthier or save money – we drive tangible and meaningful impact for our members. This role is required to<ul> <li>Develop and/or use algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes</li> <li>Perform analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry</li> <li>Collaborate with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics</li> <li>Develop and participate in presentations and consultations to existing and prospective constituents on analytics results and solutions</li> <li>Interact with internal and external peers and managers to exchange complex information related to areas of specialization</li> <li>Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions</li> <li>Use strong programming skills to explore, examine and interpret large volumes of data in various forms</li> </ul> Required Qualifications<ul> <li>3+ years of relevant analytic experience</li> <li>Experience programming using R or Python</li> <li>Experience in SAS or SQL</li> </ul>​Preferred Qualifications<ul> <li>Demonstrates strong ability to communicate technical concepts and implications to business partners</li> <li>Anticipates and prevents problems and roadblocks before they occur</li> <li>Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources</li> <li>Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analysis, and predictive modeling and in-depth specialization in some areas</li> <li>Foundational knowledge of PBM business functions, including underwriting, sales, product development, network management, and trade</li> </ul> EducationBachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. Master’s degree or PhD preferredAnticipated Weekly Hours40Time TypeFull timePay RangeThe typical pay range for this role is:$83,430.00 - $222,480.00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.Great benefits for great peopleWe take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul> <li>Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li> <li>No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li> <li>Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li> </ul>For more information, visit <a href="https://jobs.cvshealth.com/us/en/benefits" target="_blank">https://jobs.cvshealth.com/us/en/benefits</a>We anticipate the application window for this opening will close on: 06/20/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

CVSHealth

Senior Data Scientist - UM strategy and management

Job TitleSpatial Data ManagerJob Description SummaryThe role of the Spatial Data Manager (SDM) will be responsible for day-to-day functionality of the client’s Space Management tool including data integrity of CAD floor plans, occupant data and reporting (regular or ad hoc) for a client portfolio or set of buildings.Job DescriptionPrinciple Responsibilities• Contribute subject matter expertise in the areas of spatial data management, CAD / CAFM administration, space and occupancy data analytics and space utilization measurement.• Ensure compliance of client space data standards, establish a consistent data governance model.• Provide vital linkage between space management platform and industry best practices; introduce innovation to the account team/client.• Hold expertise in CAD/CAFM and the methodologies and calculations used to generate and analyze allocation deliverables.• Provide support as necessary to peer teams as it relates to space, occupancy and / or utilization data.• Contribute to data governance process - control of input sources and data consistency• Contribute to data confidence - control of data measurement standards and KPI’s• Establish core program standards for global space naming conventions, allocation model application, drawing standards and reporting standards• Establish working relationships and guides the development of roles and responsibilities with partners• Establish governance program/process and data quality assurance reporting for global consistency of portfolio space and occupancy data• Proactively monitor the execution of the client space allocation model and delivery of reporting in accordance with client space allocation process• Serves as SPOC and global system administrator for client space data management system, enforcing user controls and system continuity• Enable all system integration efforts with the CAFM system to further enhance the availability and quality of spatial and occupancy data• Recommend process improvements and performance enhancements in the use of the client space data management system• Provides space data management system training for system users• Responsible for guiding and reviewing recommendations to enhance operational efficiency, service delivery, cost savings, and innovative service advancements for all functional areas• Coach the space team leadership in effective space planning and FF&amp;E solution development, ensuring compliance with established process workflows and consistent service delivery for all project typesRequirements• BA/BS degree or equivalent combination of education, training and experience in Architectural Technology, Space Planning, Space Data Management, Data Analytics or Occupancy Planning• 4 to 8 years experience in a corporate real estate environment• Proficient in MS Office Suite software applications• Proficient with AutoCAD• Experience with CAFM systems preferred• Experience with Serraview preferred• Demonstrates proficiency in architectural and engineering drawings, concepts &amp; design• Excellent customer service and interpersonal relationship skills• Ability to work independently and as part of a team• Able to build strong relationships with internal and external partners to deliver effective services• Strong oral, written and presentation skills• Assumes ownership of requests in order to ensure successful completion• Strong attention to detail and quality with ability to handle concurrent projects with minimal supervision and direction#LI-Remote#Remote Cushman &amp; Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements. The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate’s experience and qualifications. The company will not pay less than minimum wage for this role. The compensation for the position is: $81,600.00 - $96,000.00Cushman &amp; Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman &amp; Wakefield, please call the ADA line at 1-888-365-5406 or email <a href="#">HRServices@cushwake.com</a>. Please refer to the job title and job location when you contact us.INCO: “Cushman &amp; Wakefield”

2 Data Science Jobs in Denver, CO, USA