GN - Data Scientist - 217
full-time•Brazil
About this role
We are looking for a Data Scientist to design, build, and own actionable insights derived from high-volume user interaction data. In this role, you will work with time series and streaming data generated from user events (such as mouse clicks) and screen recordings to define performance metrics, detect abnormal behavior, and support data-driven decision making.
You will take ownership of open-ended and ambiguous problems, translating raw and often noisy data into meaningful signals. Working closely with engineering and product teams, you will help evaluate detected issues, understand their root causes, and propose practical recommendations to improve product reliability and developer experience.
Key Responsibilities
- Analyze large-scale time series and event-based data from user interactions
- Structure ambiguous problems and translate them into measurable signals and metrics
- Define high-level performance metrics, including normal ranges, limits, and thresholds
- Design and implement anomaly detection methods for individual users and user groups
- Build, validate, and backtest insights and alerts using historical and near-real-time data
- Operate effectively with incomplete, noisy, or delayed data in real-world environments
- Combine user interaction data with screen or video metadata to enrich insights
- Propose data-driven actions or recommendations when abnormal behavior is detected
- Collaborate with software engineers to integrate insights into developer-facing products
- Clearly document and explain metrics, insights, and alert logic to technical audiences
- Strong foundation in data science fundamentals (statistics, data analysis, metrics)
- Hands-on experience with time series analysis
- Experience analyzing user behavior or event-based data
- Solid understanding of anomaly detection techniques
- Proficiency in Python and SQL
- Experience working with large-scale or high-frequency datasets
- Ability to think in terms of product impact and actionable insights
- Strong communication skills and experience working with engineering teams
Nice to Have
- Experience with streaming data platforms (Kafka, Spark, Flink, or similar)
- Familiarity with real-time analytics or monitoring systems
- Basic experience with video or screen data processing or metadata analysis
- Experience defining or maintaining alerting systems
- Background in developer-facing products or internal tooling
What Success Looks Like
- Metrics accurately describe normal versus abnormal behavior
- Alerts are meaningful, explainable, and have low false-positive rates
- Insights are trusted and actively used by developers to improve the product
- Data science solutions are reliable, testable, and production-ready
What you'll do
- The Data Scientist will analyze large-scale time series and event-based data from user interactions and structure ambiguous problems into measurable signals. They will collaborate with engineering and product teams to evaluate issues and propose recommendations to improve product reliability.
About Thaloz
Experts in Crafting Tech Teams ⚡️
At Thaloz, we’re dedicated to supporting our clients at every stage of the digital product journey, by building the right tech teams for your needs. With over 100 experts and a global presence in 20+ countries, we specialize in leveraging top-tier Latin American talent to deliver exceptional results.
Our Services:
→ Recruitment: Find the right candidates, fast! We help you identify top talent and manage the hiring process, building strong teams for long-term success.
→ Staff Augmentation: Scale your team seamlessly with our nearshore talent from Latin America. Access specialized skills, reduce overhead, and retain full leadership control, without the hassle of traditional hiring.
→ Dedicated Teams: Need a full development team ready to go? We build expert pods, fully integrated into your workflow, ensuring seamless collaboration, on-time delivery, and outstanding results.
→ IT Outsourcing: Get a dedicated team tailored to your project needs. We deliver end-to-end solutions while you focus on your core business.
Ready to turn ideas into reality? Let’s connect: www.thaloz.com/contact-us
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Frequently Asked Questions
What does a GN - Data Scientist - 217 do at Thaloz?
As a GN - Data Scientist - 217 at Thaloz, you will: the Data Scientist will analyze large-scale time series and event-based data from user interactions and structure ambiguous problems into measurable signals. They will collaborate with engineering and product teams to evaluate issues and propose recommendations to improve product reliability..
Is the GN - Data Scientist - 217 position at Thaloz remote?
The GN - Data Scientist - 217 position at Thaloz is based in Brazil, Brazil. Contact the company through Clera for specific work arrangement details.
How do I apply for the GN - Data Scientist - 217 position at Thaloz?
You can apply for the GN - Data Scientist - 217 position at Thalozdirectly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.