Data Scientist Specialist

Jobgether SRL; Ciudad de México; Hybrid; MXN 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Trabajo remoto desde CDMX

Paquete salarial competitivo

Desarrollo y aprendizaje continuo

Job summary

Jobgether: Data Scientist Specialist remoto con liderazgo de iniciativas de Data Science e IA para transformar datos complejos en insights accionables. Combina aprendizaje automático tradicional con IA generativa y arquitecturas de solución end-to-end.

Trabajarás con grandes volúmenes de datos para apoyar decisiones estratégicas y potenciar la rentabilidad. Se requiere maestría en campo cuantitativo y 6+ años en data science/ML, Python avanzado y experiencia con LangChain/LangGraph y bases de

Qualifications

• Maestría en disciplina cuantitativa o experiencia equivalente.
• Experiencia en análisis de datos, ciencia de datos o ML.
• Conocimientos en IA generativa y metodologías de ML.

Responsibilities

• Analizar datos complejos de fuentes estructuradas y no estructuradas para generar insights.
• Diseñar e implementar soluciones IA generativas y agenticas (RAG, CAG, multiagente).
• Desarrollar código Python de producción con concurrencia y parallelismo.
• Evaluar y monitorizar modelos/agents en producción, optimizando precisión y costos.
• Aplicar metodologías estadísticas y de ML con grandes conjuntos de datos.
• Traducir datos y capacidades de IA en soluciones prácticas para negocio.
• Contribuir a arquitecturas escalables, nube y pipelines CI/CD.

Skills

Analytical thinking

Creative problem-solving

Autonomy

Communication skills

Collaboration

Education

Master's degree en campo cuantitativo

Tools

Python

LangChain

LangGraph

Vector databases

CI/CD

Job description

Data Scientist Specialist

Empresa : Jobgether Tipo de empleo : Tiempo completo Remote / Work from Home

This role offers the opportunity to lead advanced Data Science and Artificial Intelligence initiatives with significant business impact.
You will transform complex structured and unstructured data into actionable insights and intelligent solutions.
The position combines traditional machine learning and statistical methods with generative and agentic AI technologies.
You will design and implement end-to-end AI solutions, from experimentation and architecture through production deployment.
Working with large datasets, you will help solve complex business challenges and support strategic decision-making.
The role requires strong technical expertise, analytical judgment, creativity, and a high degree of autonomy.
You will join a dynamic and collaborative environment where innovation, continuous learning, and measurable impact are highly valued.

Accountabilities

• Analyze and interpret complex data from diverse structured and unstructured sources, including text, audio, images, and video, to generate actionable insights while applying strong analytical judgment and working with a high degree of autonomy.
• Design, develop, and implement end-to-end generative and agentic AI solutions, including Retrieval-Augmented Generation (RAG), Cache-Augmented Generation (CAG), multi-agent architectures, vector databases, and frameworks such as LangChain and LangGraph.
• Develop production-quality Python code using concurrency, parallelism, threading, multiprocessing, and asynchronous programming to improve the performance and scalability of AI and machine learning pipelines.
• Evaluate, monitor, and continuously improve AI models and agents in production through rigorous evaluation practices (evals) and observability, optimizing accuracy, reliability, and cost efficiency.
• Develop and refine statistical and machine learning methodologies using large datasets to address complex business problems and contribute to improved profitability.
• Apply sound technical and business judgment to translate data and AI capabilities into practical solutions that support strategic decision-making and process optimization.
• Contribute to the design of scalable architectures, cloud-based solutions, and CI/CD workflows supporting the development and deployment of AI and ML applications.

Requirements

• Master’s degree in a quantitative discipline such as Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Physics, Electrical Engineering, or Industrial Engineering, or equivalent practical experience; the degree must be completed and formally obtained.
• 6+ years of experience in data analysis, data science, machine learning, or a related field.
• Strong specialization in Data Science, Machine Learning, and Artificial Intelligence.
• Advanced proficiency in Python and experience writing efficient, production-quality code.
• Strong knowledge of statistical software, database languages, software architecture, cloud platforms, and CI/CD workflows.
• Practical experience with concurrent and parallel programming, including threading, multiprocessing, and asynchronous programming.
• Experience working with generative and agentic AI technologies, including RAG, CAG, multi-agent architectures, vector databases, LangChain, and LangGraph.
• Strong understanding of machine learning and statistical methodologies, with the ability to work effectively with large and complex datasets.
• Excellent critical thinking, analytical judgment, creative problem-solving, and ability to operate independently.
• Strong communication and collaboration skills, with the ability to translate complex technical concepts into practical business solutions.

Benefits

• Dynamic and collaborative work environment designed to help you develop your full potential.
• Opportunities for continuous learning and professional growth while working with cutting-edge technologies.
• Opportunity to collaborate with a passionate and talented team and exchange knowledge and experience.
• Competitive compensation package and attractive benefits.
• Opportunity to work remotely from CDMX.
• Full-time position with an experienced-level scope and significant autonomy.
• Opportunity to make a positive impact on the lives of thousands of people and contribute to the development of Mexico.