Data Scientist

• Looking for a Senior Data Scientist with a solid statistical background and practical experience in data science projects in business environments.
• Candidate must be able to frame complex problems as modeling problems, execute rigorous research cycles, and deliver reproducible solutions that can be integrated by engineering teams.
• This role operates in close collaboration with an ML Engineering team. Candidate is expected to have clear judgment about their responsibilities within that ecosystem and the discipline to work with software engineering standards, not just analysis standards.

• Desarrollar soluciones de analítica avanzada utilizando Python, SQL y AWS
• Diseñar y optimizar modelos analíticos para problemas de negocio
• Documentar y preparar soluciones para producción

Data Scientist Associate – Regulación y Control Interno

• Applies relevant components of the project protocol to daily tasks and directs others on how to apply to their daily tasks.
• Acts as an interdepartmental and client liaison for all DM study activities.
• Produces project-specific status reports for management, Project Lead and/or clients on a regular basis.
• Monitors and analyzes study metrics and escalates per the organization's risk management processes.
• May participate in business development activities by assisting with bid preparation and representing data management at bid defense meetings, where required.
• Assists with project forecasting of hours and identification of resource requirements.
• Assists with the oversight of project budgets including identification of potential out of scope work and participation in the Contract Modification process.
• Leads, high volume/highly complex studies.
• Independently leads and delegates tasks to ensure timely completion of project activities to project timelines, quality and budget.
• Mentors junior level staff on all associated tasks within a study.
• Assists with administrative and financial oversight for allocated projects.
• Communicates with management regarding all data management activities within their studies.

Senior Clinical Data Team Lead

• Acts as a liaison to the Project Lead and/or client as required and communicates with management regarding all data management (DM) activities within their studies
• Develops and maintains data management project documentation files; performs independent reviews of data management deliverables following documented CDM guidelines
• Develops and delivers study specific training for DM project staff
• Produces project-specific status reports for management, Project Lead and/or clients on a regular basis
• Monitors study metrics
• May participate in business development activities by assisting with bid preparation and/or representing data management at bid defense meetings, where required
• Assists with project forecasting of hours and identification of resource requirements and identifies potential out of scope activities to Project Lead and management and assists with the Contract Modification process
• Mentors junior level staff on all associated tasks within a study
• Assists with the administrative and financial management of allocated projects
• Performs all assigned data management activities independently and efficiently, with attention to quality

Clinical Data Team Lead

• Lead and oversee the clinical data programming activities across multiple clinical trials, ensuring quality, timeliness, and compliance with regulatory requirements
• Collaborate with cross-functional teams to develop programming strategies and standards for data collection, processing, and analysis
• Provide technical expertise and guidance to programming team members, including programming best practices and troubleshooting support
• Review and validate programming deliverables, ensuring accuracy, consistency, and adherence to predefined specifications
• Contribute to the development and implementation of innovative programming solutions to enhance efficiency and data quality in clinical trials

Clinical Data Programming Lead

• Desarrollar modelos estadísticos, algoritmos de machine learning y soluciones analíticas para resolver retos de negocio.
• Explorar, transformar y analizar grandes volúmenes de datos provenientes de distintas fuentes, incluyendo datos digitales de canales web y móviles.
• Diseñar e implementar soluciones utilizando herramientas de Inteligencia Artificial Generativa (GenAI) y modelos de lenguaje (LLMs) para optimizar procesos analíticos y de desarrollo.
• Aplicar buenas prácticas de desarrollo, validación, documentación y despliegue de modelos analíticos, asegurando el cumplimiento de estándares de calidad y gobierno de modelos.
• Monitorear el desempeño de los modelos implementados, evaluando su precisión, robustez y correcto versionamiento.
• Documentar los desarrollos y contribuir al inventario de modelos conforme a los lineamientos de Model Governance.
• Colaborar con equipos multidisciplinarios para identificar nuevas oportunidades de aplicación de analítica avanzada e inteligencia artificial.
• Compartir conocimiento y mejores prácticas dentro de las Comunidades de Práctica (CoP), participando en iniciativas de innovación y desarrollo de capacidades.

Data Scientist Associate – Squad Radical Client Perspective

• Crearás soluciones inteligentes que unan la analítica avanzada con la Inteligencia Artificial Generativa para resolver retos de negocio reales.
• Transformarás datos en decisiones, desarrollando en Python sobre entornos Azure y aplicando modelos de IA que generen valor tangible para nuestros clientes.
• Diseñarás, probarás y desplegarás soluciones que lleven la innovación de datos al siguiente nivel.
• Realizarás desarrollos, investigaciones, análisis y demás actividades asignadas por tu líder de equipo o encargado de proyecto.
• Desarrollarás proyectos en Python que utilicen Inteligencia Artificial Generativa para responder preguntas de negocio basadas en los datos del cliente.
• Aplicarás tu capacidad para seleccionar, implementar y evaluar algoritmos —ya sean los que domines o los definidos por tu líder—, realizando las pruebas necesarias para determinar su efectividad en cada proyecto, incluyendo métodos de ensamble o selección automática de modelos.
• Elaborarás la documentación técnica y funcional de los proyectos, incluyendo diagramas de solución, manuales de instalación, guías de uso y reportes de resultados.
• Seguirás el plan de capacitación establecido, obteniendo en tiempo y forma los certificados correspondientes.
• Brindarás apoyo técnico, cuando se te solicite, en procesos de prospección o reuniones de venta, aportando tu conocimiento para generar valor en las soluciones propuestas.

Data Scientist, Mid-Level

• Track database set-up, testing, maintenance and data entry
• Communicate with clients, project teams and vendors on data management matters
• Review study documents, design and develop project specific guidelines and instructions
• Design eCRF, Data Management and Data Validation Plans and test EDC databases
• Ensure data entry, follow-up and validation, including manual CRF review and SAE reconciliation
• Code medical data
• Track and report metrics leading to database lock
• Coordinate the processing, dispatch and archiving of CRFs/queries
• Maintain Clinical Data Management working files
• Perform database QC checks, prepare and attend audits
• Train site staff and project teams on CRF completion and data management topics

Data Manager – Clinical Trials

• Design, develop, and deploy predictive and prescriptive models to support customer experience optimization, demand forecasting, operations efficiency, and customer behavior analysis.
• Apply a range of machine learning and AI techniques, including classical algorithms (e.g., Gradient Boosting, Random Forests, SVMs), deep learning architectures (e.g., LSTM, Transformers), and emerging AI approaches to solve complex business problems.
• Build, maintain, and optimize customer-facing and internal analytical models, such as recommendation systems, churn prediction, propensity modeling, customer segmentation, demand forecasting, matching, and assortment optimization.
• Perform feature engineering, clustering, statistical modeling, and time-series analysis using structured and unstructured data sources.
• Transition models from exploratory research environments (e.g., notebooks) into production-ready artifacts, including APIs, serialized models, and containerized solutions.
• Collaborate closely with engineering teams to ensure end-to-end MLOps integration, including CI/CD pipelines, model versioning, automated deployment, monitoring, and retraining strategies.
• Conduct advanced statistical analysis to identify trends, anomalies, and opportunities, delivering actionable insights through reports and analytical outputs.
• Support experimentation initiatives through A/B testing, KPI definition, causal inference, and measurement of business impact.
• Partner with product, engineering, analytics, and business stakeholders to identify and prioritize data science opportunities aligned with organizational goals.
• Communicate findings clearly, including assumptions, limitations, trade-offs, and recommendations, to both technical and non-technical audiences.
• Contribute to a strong data-driven culture by sharing knowledge, promoting best practices, mentoring peers, and advocating for responsible and ethical use of AI.

• The primary goal of the Senior Data Scientist is to develop, implement, and maintain machine learning or AI models and algorithms to enhance underwriting processes and customer management strategies.
• This role involves continuous improvement and experimentation with models, monitoring their performance, and providing data-driven insights to support business decisions.
• Additionally, the role includes participating in strategic decision-making and mentoring other team members.
• Design, develop, and implement machine learning models and algorithms for underwriting and customer management.
• Design and conduct experiments to enhance existing models, ensuring their accuracy and reliability through rigorous testing, validation, and benchmarking.
• Implement monitoring systems to track the performance and quality of models, regularly reviewing and retraining them based on evolving data patterns and business requirements.
• Apply advanced analytical methodologies to solve complex business challenges, presenting insights through charts and graphs, and effectively communicating findings to non-technical stakeholders.

Senior Data Scientist

• Responsible and manages all aspects of the clinical trial data management process from study start up to post database lock for assigned projects.
• Oversee and/or perform database development and testing.
• Ensure that there is back-up, continuity, responsiveness, and that tasks are performed in a timely manner.
• Oversee project data entry process including development of data entry guidelines, training, data entry quality and resourcing.
• Ensure that clinical data management deadlines are met with quality.
• Develop CRF specifications from the clinical study protocol and coordinate the review/feedback from all stakeholders.
• Conduct database build UAT and maintain quality controlled database build documentation. Oversee overall quality of the clinical database.
• Responsible for creating, revising, appropriate versioning and maintaining data management documentation.
• Train clinical research personnel on the study specific CRF, EDC, and other project related items as needed.
• Perform line listing data review based on the guidance provided by the sponsor and/or Lead DM.
• Liaises with third-party vendors such as external data and EDC vendors in a project-manager capacity in support of timelines and data-related deliverables.
• May assist with SAS programming and quality control of SAS programs used in the Data Management department.

Senior Clinical Data Manager

• Primary Data Management (DM) contact (Lead DM role) for assigned clinical project(s) /program(s), ensuring that there is back-up, continuity, responsiveness, and that tasks are performed in a timely manner.
• Oversee project data entry process including development of data entry guidelines, training, data entry quality and resourcing.
• Provide input, assesses and manage timelines. Ensure that clinical data management deadlines are met with quality.
• Develop CRF specifications from the clinical study protocol and coordinate the review/feedback from all stakeholders.
• Conduct database build UAT and maintain quality controlled database build documentation. Oversee overall quality of the clinical database.
• Review and query clinical trial data according to the Data Management Plan
• Run patient and study level status and metric reporting
• Perform other duties as assigned

• Lead High-Impact AI Deployments
• Architect and deploy forecasting, optimization, clustering, and anomaly detection models
• Design and productionize Generative AI workflows
• Implement AI Agents that automate analysis and operational decisions
• Establish best practices for model monitoring, retraining, and governance
• Own the First “Aha” Moment
• Within 2–4 weeks, deliver a fully operational AI solution solving a core business pain point
• Design End-to-End Solutions
• Define data requirements and modeling strategies
• Guide data pipeline development in collaboration with Analytics Engineers
• Ensure scalability, performance, and robustness of deployed systems
• Act as a Strategic Advisor
• Translate AI capabilities into P&L impact
• Challenge client assumptions and refine problem framing
• Identify adjacent opportunities for optimization and AI expansion
• Influence executive-level decisions with data-driven insights
• Lead Client Adoption & Enablement
• Train technical and business teams on Arkham’s AI capabilities
• Establish feedback loops for continuous improvement
• Drive long-term AI maturity inside client organizations
• Elevate Arkham’s Implementation Standards
• Contribute reusable frameworks and modeling templates
• Improve internal best practices for ML deployment and GenAI integration
• Mentor junior Data Scientists and Analytics Engineers

Data Scientist jobs in Mexico

See all jobs on JobTailor

Data Scientist

Data Scientist Associate – Regulación y Control Interno

Senior Clinical Data Team Lead

Clinical Data Team Lead

Clinical Data Programming Lead

Data Scientist Associate – Squad Radical Client Perspective

Data Scientist, Mid-Level

Data Manager – Clinical Trials

Data Scientist

Senior Data Scientist

Senior Clinical Data Manager

Senior Clinical Data Manager

Senior Forward Deployed Data Scientist