5 дней назад
Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (AI): Building machine learning research prototypes, AI agent systems, and product features for an enterprise revenue platform with an accent on natural language processing, statistical analysis, and sales-domain applications. Focus on designing experiments, implementing models, translating research into actionable insights, and solving complex business problems in collaboration with product and engineering teams.
Location: Hybrid in Guadalajara, Mexico; candidates must be based in Guadalajara and able to work onsite at the office as needed.
Company
and Clari are building an AI-powered Predictive Revenue System that helps revenue teams make data-driven decisions.
What you will do
- Apply advanced statistical techniques to structured and unstructured data to build product features, marketing content, and internal services.
- Conduct machine learning research and develop product feature prototypes for the sales engagement domain.
- Collaborate with product, engineering, sales, and customer success teams to translate business and customer needs into data science problems.
- Own complex projects from experimental design and model implementation through completion.
- Contribute across data engineering, algorithm development, and analytical responsibilities as needed.
- Communicate research findings and technical concepts clearly to stakeholders and technical partners.
Requirements
- Must be based in Guadalajara, Mexico and able to work onsite at the Guadalajara office as needed.
- 2+ years of experience as an AI researcher, data scientist, or machine learning engineer.
- Experience delivering research projects from experimental design through model implementation.
- Strong proficiency in AI agent systems, natural language processing, and classical machine learning.
- Python experience for data processing, machine learning, and AI agents.
- Familiarity with agentic AI frameworks such as LangGraph, Google ADK, or OpenAI Agents SDK.
Culture & Benefits
- Collaborative data science environment focused on knowledge sharing and intellectual curiosity.
- Work is organized around delivery timelines aligned with engineering sprints.
- Culture emphasizes team contribution, feedback, and impact rather than culture fit.
- Inclusive workplace with equal employment opportunities.
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