Machine Learning Analyst | 100% Remoto | LATAM
What do we offer?
Prometeo Talent is a recruitment agency with a strong presence across the Americas and Europe.
We specialize in connecting companies with exceptional professionals across data, analytics, and business functions.
We have partnered with a U.S.-based company specialized in marketing effectiveness measurement.
They help organizations better understand consumer behavior, purchasing trends, brand performance, and market dynamics through data-driven insights.
We are looking for a Data Analyst (Machine Learning) to join our client's global team.
This role is ideal for analytical and data-driven professionals who enjoy working with large-scale consumer and retail datasets, bridging the gap between complex database structures and business strategy, and turning raw transactional or behavioral data into clear, actionable metrics.
The ideal candidate combines solid SQL and Python skills, a strong "numbers sense", attention to detail, and the ability to translate technical results into clear summaries for stakeholders in English.
The position is open to a range of experience levels, from recent graduates with a strong quantitative background to mid-level analysts looking to deepen their technical data manipulation skills.
About Us
Prometeo Talent is a recruitment agency with a strong presence across the Americas and Europe.
We specialize in connecting companies with exceptional professionals across data, analytics, and business functions.
We have partnered with a U.S.-based company specialized in marketing effectiveness measurement.
They help organizations better understand consumer behavior, purchasing trends, brand performance, and market dynamics through data-driven insights.
We are looking for a Data Analyst (Machine Learning) to join our client's global team.
This role is adecuado for analytical and data-driven professionals who enjoy working with large-scale consumer and retail datasets, bridging the gap between complex database structures and business strategy, and turning raw transactional or behavioral data into clear, actionable metrics.




The ideal candidate combines solid SQL and Python skills, a strong "numbers sense", attention to detail, and the ability to translate technical results into clear summaries for stakeholders in English.
The position is open to a range of experience levels, from recent graduates with a strong quantitative background to mid-level analysts looking to deepen their technical datesigning and consuming REST APIs.
Hands-on experience building data ingestion pipelines, connector frameworks, integration platforms, or similar systems.
Experience integrating complex enterprise systems and third-party platforms.
Solid understanding of both SQL and NoSQL databases.
Production experience with at least one major cloud platform:
AWS
Azure
GCP
Experience working with Docker and Kubernetes.
Strong understanding of Git-based development workflows and CI/CD practices.
Experience designing reliable, scalable, and production-ready distributed systems.
Strong debugging skills across APIs, infrastructure, networking, application services, and data pipelines.
Experience working directly with customers, stakeholders, or technical partners.
Ability to translate complex customer requirements into pragmatic technical solutions.
Strong communication skills and the ability to operate effectively in customer-facing technical conversations.
High degree of autonomy and ownership when solving ambiguous technical problems.
Highly Relevant Experience
Experience with any of the following will be especially valuable:
Identity and Access Management (IAM)
Identity Providers (IdPs)
Identity Security
Cybersecurity platforms
SIEM systems
Security telemetry
Network security
Endpoint security
SASE / Zero Trust environments
Cloud security
Large-scale event processing
Streaming architectures




Integration Experience
Previous experience integrating APIs or data from platforms such as the following is highly valuable:
AWS
Microsoft Azure
Google Cloud
Microsoft Entra ID / Active Directory
Okta
Google Workspace
Duo
CrowdStrike
Zscaler
Palo Alto
Microsoft Defender
SIEM and security analytics platforms
Direct experience with every platform is not required.
What matters is a strong track record of learning complex APIs and transforming heterogeneous enterprise data sources into reliable integrations.
Nice to Have
Experience with large-scale data processing or streaming platforms.
Experience designing reusable connector SDKs or integration frameworks.
Understanding of identity-related security concepts such as authentication, authorization, credentials, service accounts, privileged access, and non-human identities.
Experience with security events, audit logs, network telemetry, or cloud activity data.
Familiarity with event-driven and distributed system architectures.
Experience deploying AI/ML-enabled applications.
Exposure to LLMs, AI agents, or AI-powered security applications.
Solution Architecture or Forward Deployed Engineering experience.
Previous experience in cybersecurity startups or high-growth SaaS environments.
What Success Looks Like
Success in this role will be measured by your ability to:
Deliver successful enterprise integrations and deployments.
Reduce customer time-to-production.
Build reliable and scalable ingestion solutions.
Improve customer adoption and technical satisfaction.
Resolve complex integration challenges efficiently.
Turn customer-specific requirements into reusable platform capabilities.
Contribute improvements that strengthen the scalability and flexibility of the core product.
What Darwoft Offers
Contractor agreement with payment in USD
100% remote work
Argentina's public holidays
English classes
Referral program
Access to learning platforms
Explore this and other opportunities at:
Ingeniero Civil Senior (Field Manager) - San Juan/Argentina
#J-*****-Ljbffr

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