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Cientista de Dados Sênior (Chatbot & IA)

Jobgether Brazil 25 candidaturas Hoje

Salário estimado

R$ 12k - 18k/mês

Sênior CLT
50%

Score de curadoria

Indicador interno 0 a 100: transparência salarial, stack, descrição útil e sinais de qualidade do anúncio. Não é match com o seu CV.

Descrição da vaga

Texto agregado para leitura rápida. Confira sempre a fonte original ao enviar a candidatura.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cientista de Dados Sênior (Chatbot & IA) based in Brazil.

In this role, you will take ownership of end-to-end data science initiatives focused on building intelligent conversational systems and advanced AI-driven decision models. You will work at the intersection of machine learning, statistics, and business strategy, translating complex business needs into scalable and production-ready solutions. The position requires strong autonomy, as you will be responsible for designing, building, and delivering full machine learning pipelines—from data exploration and feature engineering to model deployment and performance analysis. You will also contribute directly to fraud detection use cases and chatbot transactional intelligence, shaping impactful AI solutions. In addition, you will collaborate with business stakeholders to define scope, trade-offs, and success metrics. This is a high-impact role in a collaborative environment where technical excellence and business understanding go hand in hand.

Accountabilities

  • Lead end-to-end data science projects with high autonomy, from business understanding to model deployment and monitoring.
  • Design and develop AI and machine learning solutions, with focus on chatbot systems and transactional intelligence models.
  • Build statistical and machine learning models to support fraud detection and decision automation use cases.
  • Translate business requirements into technical solutions, defining scope, approach, trade-offs, and delivery timelines.
  • Perform data collection, cleaning, transformation, and feature engineering for model readiness.
  • Correlate and analyze multiple datasets to generate insights and improve model accuracy and robustness.
  • Develop dashboards and metrics to support monitoring, performance tracking, and business decision-making.
  • Document technical solutions, methodologies, and model designs to ensure reproducibility and knowledge sharing.
  • Mentor and guide less experienced team members across the machine learning lifecycle.

Requirements

  • Degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or related fields.
  • Strong experience building chatbot systems and data correlation or predictive models.
  • Solid knowledge of machine learning techniques, statistical modeling, and end-to-end ML pipelines.
  • Hands-on experience with data preprocessing, feature engineering, and model evaluation.
  • Ability to work independently with high ownership and minimal supervision.
  • Strong communication skills to interact with business stakeholders and translate needs into technical solutions.
  • Experience with fraud detection models or decision engines is a strong plus.
  • Ability to design and deliver dashboards and analytical visualizations.
  • Strong problem-solving mindset and ability to operate in ambiguous environments.
  • Experience mentoring or supporting junior data professionals is a plus.

Benefits

  • Comprehensive medical and dental insurance (with dependent coverage options).
  • Profit-sharing program (PLR).
  • Meal and food allowance.
  • Home office support allowance.
  • Childcare assistance.
  • Learning and development partnerships with educational institutions.
  • Certification incentives (including cloud certifications such as AWS, Azure, and GCP).
  • TotalPass wellness and gym benefits.
  • Livelo points program for flexible rewards.
  • Mental health and mindfulness support initiatives.
  • Collaborative and innovation-driven work environment.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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