(REMOTE) Data Scientist II, Medicare

<strong>At Emergent Holdings, we&rsquo;re creating an innovative environment where our employees belong authentically, contribute meaningfully, and thrive intentionally &mdash; both personally and professionally.</strong>

Lansing, USA

Emergent Holdings

<p class="p1"><strong>Emergent Holdings is driven by a singular goal &mdash; improving the health and safety of our customers and our communities. How do we do that? We create innovative insurance products, technology solutions, and services to support our key stakeholders &mdash; individuals, employers, providers, and strategic partners &mdash; improving the health and safety of the people and places we serve.</strong></p> https://emergentholdingsinc.com/

keywords: job description,work environment,analysis,technical,research,solutions,goals,education,experience,knowledge,problem solving,skills


Competitive Compensation and Benefits Package

Overview: <br />The main focus for this role is developing/monitoring models used in multivariate analysis, linear modeling, and data mining. This would include developing and testing predictive risk models; interact, understand, and articulate the complex mathematical and computational learning concepts (to appropriate staff). In addition, this position will be expected to understand the business goals (growth) and capital strength and make strategic recommendations to enhance business processes and reflect our strategic goals. <p><strong><br />WORKING CONDITIONS:</strong></p> <p>Work is performed in a home/office setting with no unusual hazards. Minimal travel may be required.</p>
Responsibilities: <br /> <ul> <li>Provides technical and quantitative analysis for predictive modeling group.&nbsp;</li> <li>Assists in statistical data mining and actuarial research by applying advanced statistical concepts.</li> <li>Uses computer technology, computer modeling, spreadsheet applications, software tools, and programming languages.</li> <li>Participates in and is responsible for projects requiring advanced statistical analyses, innovative research, mathematical calculations, and technical skills.</li> <li>Conducts research utilizing predictive modeling.</li> <li>Interprets data and identifies correlations using both univariate and multivariate analysis.</li> <li>Participates in and is responsible for advanced projects.</li> <li>Presents findings and recommendations to appropriate groups.</li> <li>Prepares and delivers summary reports to the relevant or affected areas within the company. Helps to determine what actionable steps can be taken based on the findings.</li> <li>Communicates and trains users on model results.</li> <li>Develops custom, explainable models that enhance business processes to reflect corporate goals, experience, and current market conditions using pattern recognition, evolutionary computation, and machine learning algorithms.</li> <li>Document model requirements.</li> <li>Examine and analyze data to determine optimal modeling approach.</li> <li>Identify candidate risk factors.</li> <li>Build models using training, test, and cross-validation data sets.</li> <li>Share model results.</li> <li>Finalize model.</li> <li>Delivers conclusions.</li> <li>Deploy and maintain models with or without the assistance of the IT department</li> <li>Oversees the creation, development, and maintenance of our models.</li> <li>Further involvement in communication of predictive model results to other departments.</li> <li>Involvement in the implementation of predictive model results into the appropriate system.</li> <li>Works with, mentors and provides direction (as necessary) to Predictive Modeler I.</li> <li>Participates in development of annual budget, goals, objectives, and systems.</li> </ul>
Requirements: <br /> <p><strong>EDUCATION:</strong></p> <ul> <li>Bachelor&rsquo;s degree in insurance, math, economics, statistics, or computer science required.</li> <li>Advanced degree in statistics, actuarial science, or applied mathematics preferred.</li> <li>Continuous learning, as defined by the Company&rsquo;s learning philosophy, is required.&nbsp;</li> <li>Certification or progress toward certification is highly preferred and encouraged.</li> </ul> <br /> <p><strong>EXPERIENCE:&nbsp;</strong></p> <ul> <li>2 years of research, modeling, or actuarial experience required.</li> <li>Medicare or Health insurance experience is preferred.</li> <li>Demonstrated ability in statistical modeling and data mining techniques (GLM, clustering, decision trees, etc.).</li> <li>Strong understanding of modeling software and data manipulation techniques.</li> <li>Strong understanding of insurance-related modeling and data.</li> <li>Strong project management skills.</li> </ul> <br /> <p><strong>SKILLS/KNOWLEDGE/ABILITIES (SKA) REQUIRED:</strong></p> <ul> <li>Excellent interpersonal, organizational, and communication skills.</li> <li>Ability and proficiency in the use of computers and company standard software specific to position. General familiarity with the following software: SAS, R, SQL.</li> <li>Strong database management skills.</li> <li>Ability to provide direction to other department analysts.</li> <li>Ability to use independent judgment and initiative and to anticipate needs of executive and department, accomplishing tasks without direction.</li> <li>Ability to work effectively as a member of a team.</li> <li>Resourceful problem-solving skills and desire to succeed.</li> <li>Knowledge of insurance and underwriting techniques, agency and policyholder needs.</li> <li>Ability to establish workflows, manages multiple projects, meet necessary deadlines, and work without supervision.</li> <li>Exercise sufficient discretion and independent judgment with a wide degree of creativity and latitude.</li> <li>Ability to apply the principles of independent logical thinking to define problems, collect data, establish facts, draw valid conclusions and make actionable strategic recommendations.</li> <li>Ability to manage responsibilities as unexpected pressures/dilemmas arise.</li> <li>Ability to comprehend consequences of various situations and make appropriate individuals aware of same for decision making.</li> <li>Ability to maintain confidentiality.</li> </ul>