Senior Data Scientist - Cybersecurity

truelogicSão PauloOperations

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Opens the official truelogic careers page

Salary

Not listed

Job type

Full-time

Work mode

Remote

Experience

Senior · 4+ yrs

Posted

28 Sept 2026

Status

Open · checked 7d ago

About this role

Senior Data Scientist - Cybersecurity is a full-time position based in São Paulo that suits a machine learning professional with a background in natural language processing and model security. The role focuses on developing and optimizing models to detect risks in artificial intelligence interactions for a technology company.

Role Overview

The Senior Data Scientist - Cybersecurity position involves joining a core artificial intelligence team to build and refine natural language processing models. The professional will handle data curation, model training, evaluation, and optimization to detect sensitive data exposure, unsafe content, and malicious prompts in modern artificial intelligence applications.

Key Responsibilities

Build, curate, clean, and maintain datasets for natural language processing and security use cases involving safe and unsafe prompts, sensitive data exposure, and adversarial examples.

Generate and augment synthetic datasets utilizing large language models to cover edge cases and enhance model robustness.

Train, fine-tune, and evaluate natural language processing and transformer-based models for real-time risk detection and classification.

Develop and improve custom classifiers and Named Entity Recognition models to identify sensitive or relevant information.

Design evaluation pipelines and benchmarks to measure model quality, accuracy, false positives, and operational performance.

Experiment with modeling approaches and continuously improve models as new security threats emerge.

Optimize models and inference workflows for production environments prioritizing speed and efficiency.

Collaborate with engineering and artificial intelligence teams to transition research into reliable production solutions.

Analyze model performance and datasets to identify gaps, edge cases, and opportunities for enhancement.

Contribute to the development of practical workflows, documentation, and engineering best practices.

Requirements

Minimum of four years of professional experience working as a Data Scientist, Machine Learning Engineer, or in a closely related capacity.

Strong hands-on experience involving natural language processing, transformer-based models, and modern language model architectures.

Strong programming proficiency in Python.

Experience utilizing machine learning and deep learning frameworks including PyTorch, TensorFlow, or comparable options.

Practical experience with ecosystems and libraries such as Hugging Face and scikit-learn.

Hands-on background in training, fine-tuning, or adapting machine learning models for real-world applications.

Experience applying Named Entity Recognition, tokenization, text classification, and other natural language processing techniques.

Data preparation and analysis skills utilizing Pandas or similar tools.

Experience designing model evaluations, benchmarks, and experiments to determine reliability and quality.

Understanding of model performance and inference optimization methods.

Familiarity with artificial intelligence security concepts such as prompt injection, personally identifiable information exposure, adversarial inputs, and data privacy.

Problem-solving capabilities and the ability to operate independently on ambiguous machine learning challenges.

Skills and Tools

Python

PyTorch

TensorFlow

Hugging Face

scikit-learn

Pandas

Natural Language Processing (NLP)

Transformer-based models

Named Entity Recognition (NER)

Text classification

Salary and Benefits

100% remote work flexibility requiring only a laptop and reliable internet connection

Highly competitive compensation paid in USD

Paid time off policies supporting personal well-being

Work autonomy focusing on results rather than traditional time tracking

Opportunities to collaborate with industry-leading United States companies on high-impact projects

About the Company

Truelogic is a nearshore staff augmentation service provider headquartered in New York with a team of over six hundred technology professionals based in Latin America. The organization connects technical experts with United States companies ranging from innovative startups to Fortune 500 enterprises. The client associated with this role is a growing technology company focused on helping organizations safely adopt and manage artificial intelligence at scale through platforms that monitor interactions, protect sensitive information, and apply security controls across modern applications.

How to Apply

Interested candidates should apply on the official company careers page.

Skills and tech stack

Python PyTorch TensorFlow Hugging Face scikit-learn Pandas LLMs NLP Transformers Deep Learning Machine Learning Fine-tuning

Questions candidates ask

What is the primary focus of the Senior Data Scientist role?

The role focuses on building and improving natural language processing models that identify potential risks in artificial intelligence interactions, such as sensitive-data exposure, unsafe content, and adversarial prompts.

How many years of experience are required to apply?

Candidates must have four or more years of professional experience as a Data Scientist, Machine Learning Engineer, or in a closely related role.

Where is the position located?

The job is based in São Paulo and offers 100% remote work flexibility.

What technical frameworks and tools are expected?

Required technical tools and frameworks include Python, PyTorch, TensorFlow, Hugging Face, scikit-learn, and Pandas.

What type of compensation is provided?

The position offers a highly competitive compensation paid in USD alongside paid time off.

Ready to apply?

The application is on the official truelogic careers page.

Apply on company site