Pricing Data Scientist

April 20, 2022

Remote, USA

PointClickCare is the leading healthcare technology platform enabling meaningful collaboration and access to real-time insights at any stage of a patient’s healthcare journey. PointClickCare’s single platform spans the care continuum, fostering proactive, holistic decision-making and improved outcomes for all. Over 25,000 long-term post-acute care providers, and over 2,700 hospitals use PointClickCare today, enabling care collaboration and value-based care delivery for over 195 million lives across the U.S. For more information on PointClickCare, please connect with us on Glassdoor and LinkedIn. Position Summary:Collective Medical is looking for a Data Scientist to support internal and external customer's analytic and data consulting needs. The Data Scientist will be responsible for extracting, preparing, and visualizing data to drive decision-making with internal and external customers; calculate, monitor, and report on return-on-investment (ROI) for programs and customers; consult with and provide recommendations to internal and external customers on their analytic and ROI needs; and manage relationships with our internal and external partners.  Key Responsibilities:·         Respond to ad-hoc analytic requests from internal and external customers, and learn from the ad-hoc requests to build better analytics that proactively answer customer questions. ·         Develop cost and revenue forecast based on variable pricing schedules on a client specific basis utilizating historical clinical data ·         Collaborate with sales in developing custom ROI based pricing methodologies·         Create and maintain dashboards and other reporting tools to identify trends using data to drive the business to action·         Extract data to build metrics or create/update Tableau dashboards to support pricing, invoicing, and financial forecasting·         Share insights with customers regarding drivers of success or areas of opportunity ·         Research new ideas to help prioritize areas of focus ·         Consult with internal and external customers to develop new dashboards, metrics, KPIs, outcomes evaluation, or ROI ·         Respond to ad hoc analytic requests from internal and external customers·         Understand and use the data warehouse and relational databases·         Ensure accurate quality of deliverables by participating in peer review·         Evaluate programs and projects, and communicate the results to diverse audiences·         Understand and use the data warehouse and relational databases ·         Ensure accurate quality for deliverables by working with peers for appropriate levels of quality assurance What you’ll be doing day to day:·         Extracting data to build metrics and Tableau dashboards to track success toward company, department, and customer KPIs·         Sharing insights with customers regarding drivers of success and/or areas of opportunity ·         Researching impact of new ideas to help prioritize areas of focus ·         Consulting with product and account management regarding success and ROI metrics for each customer Who you’ll work with:·         The Associate Data Scientist will work closely with many teams throughout the organization such as Sales, Sales Ops, Account Management, Product, Strategy, Operations, along with the rest of the Data Science team. Required Experience: ·         Bachelor’s degree (or equivalent experience) in data science, analytics, mathematics, statistics, public health, economics, social science, or actuarial science.  Master’s degree preferred.·         Master's degree or PhD preferred, but not required.·         2 to 5 years of related analytics work experience or equivalent combination of education and experience·         Demonstrated experience in financial forecasting, building pricing models, ROI modeling, etc.·         Excitement in tackling a broad range of projects supporting varied audiences for a growing organization ·         Previous healthcare related industry experience is strongly preferred ·         Experience with data extraction, manipulation, and visualization tools such Python, R, SAS, Tableau, and SQL ·         Knowledge of all Microsoft Office applications, including Word, Excel, and PowerPoint·         Ability to meet deadlines, work with tight schedules, and manage multiple priorities under minimum supervision ·         Excellent verbal and written communication skills ·         Strong analysis skills ·         Strong attention to detail ·         Experience with cleaning, aggregating, and pre-processing data from varied sources. ·         Experience creating complex SQL queries for standard as well as ad hoc data mining purposes#LI-Remote#LI-TW1 It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com

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