• Define strategy for Supply Data Science and lead analytical foundations to optimize participant supply • Work across acquisition, onboarding, liquidity, matching, and engagement • Partner with Product, Engineering, and Operations to create roadmap of models, experiments, and decision systems

Integrity Management Services, Inc. (IntegrityM) is a woman-owned small business specializing in assisting government healthcare organizations prevent and detect fraud and abuse in their programs. At IntegrityM, we offer a culture of opportunity, recognition, and collaboration. We thrive off of these fundamental elements that make IntegrityM a great place to work. We offer the flexibility our employees need to challenge themselves and focus on advancing their professional development and careers. Large company perks. Small company feel. www.integritym.com In this role, the Statistician with guidance from the Senior Data Analyst or Sr. Statistician and Mangers will provide analytical and statistical data support utilizing statistical software. Statistician possesses a statistical education background and general knowledge of health care systems, basic computer and software skills, and ability to accomplish all delegated tasks achieving Integrity Management Services business goals producing high quality deliverables to our clients. Statistician works independently as well as collaboratively with Data Analysis team. Job Responsibilities:   Works with databases performing functions including data cleaning and maintenance; extracting data, importing/exporting data into various formats.   Perform complex statistical analyses of Medicare Fee-For-Schedule (FFS) Durable Medical Equipment, Prosthetics, Orthotics, and Supplies (DMEPOS) claims data and create reports on trends, significant changes and other relevant factors.   Creates materials that aid in illustrating analytics/data findings.   Compiles, verifies, and interprets data to guide departmental efforts.   Conduct quantitative and qualitative data mining and statistical analyses: ·        Uses SAS, MS Access, and Excel. ·        Performs data analysis to create summaries and result tables. ·        Runs summary statistics. ·        Conducts research relevant to the analysis being done. ·        Refines database queries to generate subsets of databases and tables. ·        Creates clear, concise, and complete materials including but not limited to reports, memos and/or data files for submission to the client. ·        Create project presentations at the request of manager and other stakeholders.                             Communicates with technical and non-technical end users, providing clear explanation of procedures used and results obtained from data analysis tasks.    Provides analytical support for internal quality reviews, audits, and client inquiries, including validating results and responding to data-related questions.   Seeks opportunities for additional training to improve skills necessary to perform job responsibilities.   Leads and/or participates in team projects and brainstorming sessions to assess various methodologies for study designs.   Remains informed regarding industry changes, trends, best practices and applicable regulations and assesses impact of changes on the project.   Performs ad hoc tasks/duties as assigned.

• Lead end-to-end data science initiatives for predictive analytics use cases such as demand forecasting, churn prediction, and risk modeling • Translate business requirements into ML problem statements and define appropriate modeling approaches • Design, build, and deploy machine learning models using traditional ML techniques (regression, classification, clustering, time series) • Drive feature engineering, data preparation, and exploratory data analysis to improve model performance • Develop and manage scalable ML pipelines from data ingestion to model deployment • Deploy and manage models on AWS using services such as SageMaker • Ensure model performance through validation, monitoring, and periodic retraining • Collaborate with data engineering and MLOps teams to productionize ML solutions • Apply best practices for model governance, explainability, and responsible AI • Mentor junior data scientists and provide technical leadership while remaining hands-on • Communicate insights, model outputs, and recommendations effectively to business stakeholders

Job description En Workana estamos buscando un/a Junior Advanced Data Governance & Data Scientist para sumarse a equipo de datos de uno de nuestros clientes:"Empresa mexicana dedicada a mejorar la salud y calidad de vida mediante productos farmacéuticos y de cuidado personal." Acerca del rol: Buscamos un perfil para brindar soporte operativo en la gestión, control y documentación de datos dentro del equipo de analítica. Será responsable de asistir en tareas relacionadas con gobierno, calidad y cumplimiento de datos, asegurando la integridad y trazabilidad de la información utilizada en los procesos analíticos y de negocio. Es un rol ideal para una persona en etapa inicial de carrera en datos, con curiosidad, atención al detalle y ganas de aprender sobre gobernanza, calidad, consistencia y flujo de datos. Responsabilidades principales: - Garantizar la calidad e integridad de los catálogos de datos, monitoreando y corrigiendo inconsistencias, duplicados y otros problemas estructurales. - Diseñar e implementar procesos para normalización y limpieza de datos (tanto descripciones como estructuras). - Documentar y mantener actualizadas reglas de negocio, flujo de datos y linaje en catálogos corporativos. - Ejecutar validaciones automatizadas y apoyar en la elaboración de herramientas para homologar catálogos mediante análisis estadístico o fuzzy matching. - Participar en la creación de reportes que aseguren la trazabilidad de los datos mediante herramientas de Business Intelligence (Excel, Tableau, PowerBI u otras). - Colaborar en la implementación de estándares relacionados a normativas de privacidad de datos.