Científico de datos

Hace 3 días

Ciudad Nezahualcoyotl Méx, Nezahualcóyotl (municipio); Estado de México IFIT Solutions Jornada completa

Objective:

As a Senior Associate Data Scientist, you'll leverage your expertise in GenAI applications to

provide strategic insights and solutions to our clients in the financial services industry. You will

collaborate with cross-functional teams to innovate and optimize processes through advanced

data science methodologies, ultimately driving client success and digital transformation.

Key Responsibilities:

∙Develop and deploy GenAI applications using prompt engineering, retrieval-augmented

generation (RAG), Agentic Frameworks, and finetuning techniques tailored to financial

services.

∙Utilize Azure cloud services to ensure scalable and efficient data processing and analysis.

∙Apply Python programming to create innovative solutions and automate complex

workflows.

∙Implement machine learning techniques, with an emphasis on tree-based models such as

Decision Trees, Random Forest, and Gradient Boosting.

∙Convey complex technical concepts to non-technical stakeholders and provide strategic

guidance.

∙Collaborate with clients to identify opportunities for technology-driven enhancements

and articulate value propositions.

Qualifications:

∙Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field;

advanced degree preferred.

∙Minimum of 3 years of experience in data science with a focus on building GenAI

applications.

∙Strong expertise in Azure cloud services and Python programming.

∙Desirable background in machine learning, particularly tree-based models.

∙Full professional fluency in English (C1) is mandatory.

∙Former consulting experience is strongly desirable.

∙Advanced communication skills for conveying technical concepts to diverse audiences.

∙Excellent problem-solving and analytical abilities, with a detail-oriented approach.

∙Ability to work collaboratively in a team environment while also thriving independently.

∙Experience managing project timelines and stakeholder expectations.

∙Adaptability and eagerness to learn and apply new technologies and methodologies.

∙Proven ability to handle confidential information with integrity and discretion.