150 Ofertas de Data Scientist en Mexico

We are seeking a Data Scientist to design and implement data-driven solutions that support strategic initiatives across the organization. This role will focus on developing predictive models, analyzing large and complex datasets, and leveraging machine learning to drive insights and improve business outcomes. The ideal candidate is highly analytical, collaborative, and passionate about applying data science in a fast-paced, results-driven environment.

Key Responsibilities:

• Build and deploy machine learning models to support use cases such as transaction monitoring, risk detection, customer segmentation, and operational optimization.
• Analyze large volumes of structured and unstructured data to uncover trends, patterns, and actionable insights.
• Collaborate with business stakeholders to understand key challenges and translate them into data science problems.
• Communicate findings clearly to both technical and non-technical audiences through visualizations, presentations, and reports.
• Partner with Data Engineers and Analysts to build scalable data pipelines and ensure data quality.
• Support the implementation of AI-driven initiatives across departments, including Compliance, Operations, and Strategic Planning.
• Continuously research and apply the latest tools and methodologies in data science and machine learning.

Qualifications:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 2+ years of experience in a data science role, ideally in financial services, fintech, or payments.
• Proficiency in Python and SQL; experience with machine learning libraries such as scikit-learn, TensorFlow, or similar.
• Familiarity with cloud-based data platforms (e.g., Snowflake, AWS, Azure, Streamlit)
• Strong analytical skills with the ability to translate business needs into technical solutions.
• Excellent communication and collaboration skills. Strong proficiency in English, with the ability to communicate complex technical concepts clearly to diverse audiences.
• Experience with BI tools (e.g., Power BI, Tableau)

¡Seguimos creciendo y estamos en búsqueda de apasionados/as del mundo tecnológico!

Nos alejamos del concepto de consultoría tradicional ¿sabes por qué?:

Contratamos para nosotros. Somos fieles a nuestra cultura y queremos compartir contigo nuestra filosofía de trabajo cooperativo, en equipo y de formación continua. Siempre podemos aprender más. Confiamos en la gente y que es posible trabajar bajo pasión, y que sientas en nuestro apoyo tanto en lo profesional como en lo personal. En nuestra cultura nadie es un número, somos un equipo con un estilo de organización transversal, y así queremos que siga.

Ningún mar en calma hizo experto a un marinero. ¿Somos exigentes? Sí, porque nuestros retos los son, pero te desarrollarás entre cracks, en entornos innovadores y con las últimas tendencias tecnológicas. Además, priorizamos el talento y en esta familia nos preocupamos por gente buena que, también, sea buena gente.

Si te apasiona el trabajo en equipo, te encanta aprender cosas nuevas y te interesa la innovación, ¡Nos encantaría conocerte!

Científico de Datos

Requisitos:

• Al menos 2 de experiencia en:
• Modelado matemático y desarrollo de soluciones de analítica avanzada (Machine learning).
• Experiencia en desarrollo de modelos estadísticos (ML, AI).
• Implementación de modelos analíticos avanzados (machine learning, Deep learning).
• Capacidad de investigación para proponer soluciones de vanguardia.
• Versionamiento con código con GIT.
• Conocimiento comprobable en herramientas Python, Spark, SQL.
• Énfasis en Python, conocimiento de bases de datos.
• Modela e implementa soluciones para problemas complejos, identificando oportunidades de mejora, mediante uso de diferentes técnicas estadísticas, algorítmicas, de minería de datos, utilizando fuentes internas y externas.
• Crea modelos capaces de cumplir con pruebas de validación cruzada, así como iteraciones de mejoramiento.

Perfil ideal de un/una bluetaber…

-Apasionado de la tecnología. Completamente al día de las últimas tendencias de la industria.

-Habituado a trabajar por objetivos. Acostumbrado a trabajar bajo presión en entornos altamente exigentes.

-Buen comunicador, sabrá transmitir ilusión al entorno de trabajo.

-Comprometido. Capacidad de análisis y solución de problemas.

-Buenas habilidades de negociación.

-Capaz de generar empatía tanto con los empleados y clientes.

-Capaz de adaptarse a la cultura de trabajo de una pyme. Sin grandes jerarquías. Compatibilizando la capacidad de trabajar con autonomía con un fuerte espíritu de colaboración y, sobre todo, de trabajo en equipo.

- Interesado en desarrollar su carrera profesional en entornos altamente competitivos y con alto potencial de crecimiento.

Tu comodidad nos importa. Los bluetabers trabajamos en un entorno confortable, agradable y con proyección de carrera. Eso se traduce en:

-Contrato indefinido con un salario competitivo. El salario se relaciona en función de los conocimientos técnicos detectados en el proceso y rol asignado, procurando respetar el sentido de equidad y siendo susceptible de mejora tras las evaluaciones continuas de desempeño.

-Formación continua.

-Plan de carrera individual definido ya sea técnico, funcional o gestión (¡Decide tu camino, pero sigue formándote!).

-Beneficios sociales más allá de tu salario:

- Fondo de Ahorro

-Seguro de gastos médicos menores y de mayores a nivel familiar, seguro de vida.

-Vales de despensa.

- Vacaciones superiores a la ley.

- Bolsa de capacitación

-Bono de bienestar

-Capacitación constante

- Días de descanso adicionales a la ley.

¿Qué esperas para sumarte a Bluetab, an IBM Company?

En /b promovemos la diversidad de género, origen étnico, nacionalidad, la inclusión de personas con discapacidad y/o habilidades diferentes mediante la igualdad de oportunidades en todos los procesos, y buscamos ampliar las oportunidades de desarrollo profesional.

"Bluetab" es una empresa del grupo IBM. Bluetab será la entidad contratante. Al proceder con esta solicitud, usted entiende que Bluetab compartirá su información personal con otras filiales de IBM involucradas en su proceso de reclutamiento, selección y contratación, donde quiera que éstas se encuentren. Encontrará más información sobre cómo IBM protege su información personal, incluidas las medidas en caso de transferencia transfronteriza de datos, aquí:

We are seeking a Data Scientist to design and implement data-driven solutions that support strategic initiatives across the organization. This role will focus on developing predictive models, analyzing large and complex datasets, and leveraging machine learning to drive insights and improve business outcomes. The ideal candidate is highly analytical, collaborative, and passionate about applying data science in a fast-paced, results-driven environment.

Key Responsibilities:

• Build and deploy machine learning models to support use cases such as transaction monitoring, risk detection, customer segmentation, and operational optimization.
• Analyze large volumes of structured and unstructured data to uncover trends, patterns, and actionable insights.
• Collaborate with business stakeholders to understand key challenges and translate them into data science problems.
• Communicate findings clearly to both technical and non-technical audiences through visualizations, presentations, and reports.
• Partner with Data Engineers and Analysts to build scalable data pipelines and ensure data quality.
• Support the implementation of AI-driven initiatives across departments, including Compliance, Operations, and Strategic Planning.
• Continuously research and apply the latest tools and methodologies in data science and machine learning.

Qualifications:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 2+ years of experience in a data science role, ideally in financial services, fintech, or payments.
• Proficiency in Python and SQL; experience with machine learning libraries such as scikit-learn, TensorFlow, or similar.
• Familiarity with cloud-based data platforms (e.g., Snowflake, AWS, Azure, Streamlit)
• Strong analytical skills with the ability to translate business needs into technical solutions.
• Excellent communication and collaboration skills. Strong proficiency in English, with the ability to communicate complex technical concepts clearly to diverse audiences.
• Experience with BI tools (e.g., Power BI, Tableau)

Responsibilities:

• Part of a cross-disciplinary team, collaborating closely with product managers, business stakeholders, data engineers and other data analysts and data scientists in B2C business areas.

• Lead the design, analysis and interpretation of product experiments

• Identify and evangelize key performance indicators to be used in product experimentation

• Carry out causal inference from observational data

• Present your findings to technical and business stakeholders

• Actively mentor others, contribute to product experimentation and measurement learning and development paths

Qualifications:

• Bachelors, Masters or PhD in statistics or econometrics

• Deep statistical skills and at least 3+ years hands-on experience designing, running and interpreting A/B tests and analyzing observational data at scale in a real-world setting

• Strong programming (e.g. python) and SQL skills and understanding of software engineering best practices

• User-centric and product mindset

• Strong stakeholder management skills and ability to lead large organizations through influence

• Continuous learning and improvement mindset

Additional information:

• English Proficiency
• Share resume exclusively in English
• 100% remote opportunity to work from Mexico
• Opportunity for Mexican Citizens or foreigners with work permit VISA living in Mexico

We are seeking a Data Scientist to design and implement data-driven solutions that support strategic initiatives across the organization. This role will focus on developing predictive models, analyzing large and complex datasets, and leveraging machine learning to drive insights and improve business outcomes. The ideal candidate is highly analytical, collaborative, and passionate about applying data science in a fast-paced, results-driven environment.

Key Responsibilities:

• Build and deploy machine learning models to support use cases such as transaction monitoring, risk detection, customer segmentation, and operational optimization.
• Analyze large volumes of structured and unstructured data to uncover trends, patterns, and actionable insights.
• Collaborate with business stakeholders to understand key challenges and translate them into data science problems.
• Communicate findings clearly to both technical and non-technical audiences through visualizations, presentations, and reports.
• Partner with Data Engineers and Analysts to build scalable data pipelines and ensure data quality.
• Support the implementation of AI-driven initiatives across departments, including Compliance, Operations, and Strategic Planning.
• Continuously research and apply the latest tools and methodologies in data science and machine learning.

Qualifications:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 2+ years of experience in a data science role, ideally in financial services, fintech, or payments.
• Proficiency in Python and SQL; experience with machine learning libraries such as scikit-learn, TensorFlow, or similar.
• Familiarity with cloud-based data platforms (e.g., Snowflake, AWS, Azure, Streamlit)
• Strong analytical skills with the ability to translate business needs into technical solutions.
• Excellent communication and collaboration skills. Strong proficiency in English, with the ability to communicate complex technical concepts clearly to diverse audiences.
• Experience with BI tools (e.g., Power BI, Tableau)