Remote Python Analyst Jobs in Austin, TX (NOW HIRING)

The Data Scientist will work with cutting edge cloud-based services and machine learning algorithms to modernize the way artificial intelligence (AI) is deployed in healthcare. In partnership with clinicians, cloud partners, and business owners the DS will work backwards from business objectives to drive scalable machine learning solutions and pull through the appropriate technology as needed. The incumbent will be a technical leader influencing the analyses and promoting best practices within the team.ResponsibilitiesIdentify the data-analytics problems that offer the greatest opportunities to the organizationDetermine the correct data sets and variablesCollect large sets of structured and unstructured data from disparate sourcesClean and validate the data to ensure accuracy, completeness, and uniformityDevise and apply models and algorithms to mine the stores of big dataAnalyze data to identify patterns and trendsInterpret data to discover solutions and opportunitiesPerform statistical analytical techniques ranging from basic descriptive techniques to advanced regression and multi-variable techniques, using various statistical software programsCommunicate findings to stakeholders using visualization and other meansMake recommendations for new metrics, apply analytical techniques, and build ML models to improve insights for clinical analyticsMaintain an understanding of the latest trends in data science and machine learningLead development, execution, and validation of highly complex algorithms and predictive models from large sets of dataPartner with business subject matter experts to select relevant sources of information and collect necessary dataCommunicate new knowledge and insights gained from mining and analyzing large data setsTransfer knowledge and concepts to IS and business teams that are implementing the actual systemMentor and work collaboratively with other data scientists on specific projects, improving team infrastructure and participate in methodology and code reviewsResearch and implement novel ML approaches to accelerate interoperability, knowledge extraction, enterprise search, real-time workflow orchestration, and moreThis job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job.

Duties, responsibilities, and activities may change at any time with or without notice.QualificationsScope MeasuresDirect reports: NoIndirect reports: NoBudget responsibility: NoEducation / CredentialsMaster's degree in health science-related discipline, public health, statistics, economics, mathematics, healthcare, or related quantitative field from an accredited college or university or equivalent education and experienceIn lieu of undergraduate degree, the ratio is 1:1 meaning one year of college equals one year of work experience and vice versaJob-Related ExperienceCustomarily has at least five years of experience in data mining and statistical analysisCustomarily has at least five years of experience with SQL and statistical software packages (Python, R, SAS/SPSS)Technical experience and data management skills including data extraction, transformation, metadata capabilitiesAdvanced proficiency with MS Excel and PowerPointExperience using business intelligence tools (Tableau/MicroStrategy/Power BI) and data frameworksTrack record of publicationsJob-Related Skills / CompetenciesConcentra Core Competencies of Service Mentality, Attention to Detail, Sense of Urgency, Initiative and FlexibilityAbility to make decisions or solve problems by using logic to identify key facts, explore alternatives, and propose quality solutionsOutstanding customer service skills as well as the ability to deal with people in a manner which shows tact and professionalismThe ability to properly handle sensitive and confidential information (including HIPAA and PHI) in accordance with federal and state laws and company policiesHave a keen ability to analyze, extract, normalize, understand, and label relevant healthcare dataAbility to document technical requirements, code comments, and compile white papers to relay technical methodology and key findingsAbility to work in a highly collaborative environment with peers that have a range of technical aptitudes to understand business requirements and build analytical solutions to achieve key business goalsPassionate about working with data, relentless in focus on quality, have a solution mindset, and focused to answer key healthcare challengesExcellent verbal and written communication skillsExcellent organizational skills and attention to detailAble to multitask, prioritize, and manage time effectivelyStrong math skillsProblem-solving aptitudeIntellectual curiosity and inquisitiveness are highly desirable qualitiesJ-18808-Ljbffr