Data Science Analyst

Right at Home, a leading home care franchise organization, is seeking a motivated, polished and experienced Data Science Analyst. This person will be responsible for leading company-wide data and research initiatives as a member of the Business and Data Intelligence Team.Do you have experience as an Data Scientist, finding solutions and answers to complex problems?Do you thrive in a fast-paced environment with multiple priorities?Do you have experience with independent research?Are you looking to be part of a high achieving team?Do you enjoy working with data and interacting with different modules?If you answered the above questions with a resounding "YES!" and the purpose of the position sounds fulfilling to you, please apply today! Right at Home is clear in its mission... "To improve the quality of life for those we serve". You can help us achieve this mission by lending your leadership experience, proactive problem-solving abilities, savvy communication skills to our organization!When you come to Right at Home, you are joining a company that values its employees in all aspects of life. We offer a casual work environment, hybrid work availability, flexible time off, paid parental leave, competitive pay, and so many other great benefits! You'll work with state of the art technology including SharePoint, MS Office 365, Zoom (for phone, meetings, chat and texting), AI technology, and Zoho CRM.We are protective of our culture and enjoy working with others who share our core values: Authentic, Accountable, Approachable, Collaborate and Integrity!We aspire to work with colleagues who Get it, Want it and have the Capacity to do it. That means you'll work with people who know what it takes to succeed, strive for excellence and have the skills and knowledge necessary to get the job done right! We use the EOS approach to our business, creating transparency and accountability.Essential Duties and Responsibilities:Consistently upholds and demonstrates the Right at Home core values: Authentic, Accountable, Collaborative, Integrity and ApproachableProvide the business with trusted and up to date information about our industry Look at trends, behaviors, and demographics surrounding our industry clients, staff, franchisees, markets, and competitorsFind, analyze, organize, deliver, and maintain market research information and assets Design, implement, and evaluate descriptive and predictive modelsLead our organizations integration of machine learning and advanced data science concepts into tools, applications, and processes (i.e. random forest)Use statistical analysis techniques (like survival analysis and regression modeling), to advance predictive and prescriptive organizational analysisContribute to projects with need or emphasis on analysis, data, or other business intelligence functions.Communicate effectively with both business and technical team membersAssist in analyses of data and create summaries in narrative and/or graphic displayAssist in the collection and management of data and information so that it can be used to analyze business functions, market behavior and industry trendsInvestigate and analyze complex business challenges and assist in problem solving and providing solutionsPerform detailed strategic and financial analysis on various areas of operations within the organization.Act as subject matter expert and provide information and recommendations to team lead and executive team to assist in decision makingFind and present data-driven insights and conclusions to maximize bottom line resultsAdvocate for continual improvement towards realizing the ideal tools, investment, partnerships, infrastructure, and culture needed in the area of data-driven decision making and business intelligence, to accomplish organization goalsCreate, maintain and evolve weekly and monthly reportingIdentify trends, patterns and relationships in the data to support administrative decision makingUnderstand, work with and assist in the upkeep and maintenance of data dictionariesLearn and understand the nuances of corporate data, metrics and source systemsRequirements:Attained an undergraduate degree with focus in business, mathematics, engineering, computer science, finance, information technology, or economics2+ years of experience working using statistical analysis1+ years of experience working with data science tools and skills (machine learning or AI)Worked with survey data, industry studies, consumer trends and demographics, and writing summary reportsEffective verbal and written communication skillsCritical thinking and problem solvingStrong attention to detail Self-motivated leader with the ability to multi-task is a mustExcellent organization and decision-making skillsProficient with Microsoft Office softwareAbility to work well with teams, but also as a dedicated self-starter who can ask questions and find solutions to problems as an individual.Right at Home, a RiseMark Holdings, LLC Company, is an equal opportunity employer that celebrates, supports and promotes diversity and inclusion. We will consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation or gender identity, or any other legally protected basis, in accordance with applicable law.