**Description du poste**
- We are looking for a Senior Data Scientist with a solid statistical background and
- practical experience in data science projects in business environments. The- 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. The- that ecosystem and the discipline to work with software engineering standards,
- not just analysis standards.
**Profil**
What We Are Looking For
- Technical Fundamentals
- Advanced mastery of Python as the primary and sole development language.
- Solid knowledge of data science and ML libraries: Scikit-Learn, XGBoost ,
- LightGBM, Pandas, Polars, Statsmodels, SciPy.
- Experience with deep learning models ( TensorFlow or PyTorch ) when the
- problem justifies it.
- Ability to work with data at scale: advanced SQL, PySpark for exploration
- and transformation.
- Access to and handling of data in cloud environments (GCS, Azure Blob
- Storage).
- Statistical Rigor
- Experimental design and hypothesis testing applied to business problems.
- Understanding of causality: not just correlation but the ability to distinguish and- Robust model validation: beyond accuracy, business metrics, bias analysis, and
- subgroup behavior.
- Development Discipline
- Professional use of Git as part of the usual workflow, not as a formality at
- delivery time.- code, not just exploration notebooks.
- Familiarity with experiment tracking tools (MLflow or equivalent) for
- experiment traceability.
- Ability to document models in a structured way: what it solves, with what data,
- with what limitations.
- Experience working under team standards: secure credential handling, data




- versioning, project structure.
- Judgment on AI
- Responsible use of generative AI tools as assistants: with the critical ability to
- review and validate what they produce.
- Judgment to evaluate when agent systems or LLMs are the right tool and when
- they are not.
- Recommended Experience
Notes for the Search
- The selection process includes a practical technical evaluation and review- Reasoning ability and judgment will be valued over code production speed.
- We are not looking for profiles who use tools without understanding them: we- decisions.- willingness and ability to adopt them from the start of any project is expected.
- More than 5 years in data science, statistical analysis, or applied research roles.
- Documentable end-to-end projects: from problem definition to delivery of a
- validated model.
- Experience working with engineering teams (ML Engineers, Data Engineers) in
- agile environments.
- Work history in real code repositories (a shareable portfolio will be valued).
- Academic Background
- Master’s or Doctoral degree in: Mathematics, Statistics, Actuarial Science,
- Physics, Computer Science, or related fields.
- Experience in academic or applied research is a differentiator.
**À propos d'Inetum**
Inetum es un grupo internacional de consultoría digital ágil. En la era post-transformación digital,



nuestro propósito es permitir que cada una de las más de 27,000 personas que forman parte de nuestro equipo se renueve continuamente, viviendo de forma positiva su propio flow digital.
Con presencia en 26 países, promovemos trayectorias profesionales flexibles, innovación local y un equilibrio saludable entre la vida personal y competente. Además, Inetum ha sido reconocida como Top Employer, certificación que avala nuestro compromiso con el bienestar, el desarrollo profesional y la excelencia en la gestión del talento.
**Compromiso con la igualdad**
**Nota de transparencia**:
- En nuestro proceso de selección utilizamos herramientas de** inteligencia artificial**para realizar un prefiltrado de perfiles. Estas herramientas se emplean únicamente como **apoyo para el análisis**y no toman decisiones de contratación, las cuales siempre son validadas por nuestro equipo de reclutamiento.
- Si consideras que tu postulación fue evaluada de manera incorrecta, puedes escribirnos a:
**Informations supplémentaires**
**Lo que ofrecemos**
- Programas de formación continua y certificaciones.
- Acceso a plataformas de aprendizaje y desarrollo profesional.
- Cultura de innovación y colaboración.
- Programas de bienestar físico y emocional.
- Oportunidades de crecimiento en proyectos internacionales.
- Reconocimiento y recompensas por desempeño.
- Sueldo base
- Prestaciones superiores a las de la ley
- Seguro de vida
- Seguro de Gastos Médicos Mayores
- Vales de despensa
- Esquema 100% nómina
**Country**
Mexico
**Location**
Mexico City
- Les employés peuvent travailler à distance
**Contract Type**
Open-ended contract

📌 Data Scientist (Ciudad de México)
🏢 Inetum
📍 Ciudad de México