Location: Remote (LATAM Only)
Department: Engineering
Type: Full-Time
About SkilldLabs
SkilldLabs helps startups scale with speed and precision by connecting them to exceptional nearshore engineering talent across Latin America. We partner with high-growth companies to build elite, autonomous teams that deliver results at startup velocity, combining deep technical skill with excellent communication and ownership.
About the Role
We’re seeking an experienced Data Scientist with a strong background in AI/ML and anomaly detection. You’ll design, build, and deploy data-driven models that identify patterns, anomalies, and trends across large datasets to enhance system intelligence and automation.
What You’ll Do
- Develop and implement machine learning models for anomaly detection and predictive analytics.
- Analyze large, complex datasets to uncover actionable insights.
- Build scalable pipelines for data ingestion, model training, and evaluation.
- Collaborate with engineering teams to integrate ML models into production systems.
- Monitor, tune, and improve model performance over time.
What You Bring
- 5+ years of experience in data science or machine learning roles.
- Strong hands-on experience with Python, GoLang, or Java for model development.
- Expertise in anomaly detection, time-series analysis, or predictive modeling.
- Experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Ability to work autonomously and drive end-to-end model ownership.
What We Offer
- Competitive compensation (USD)
- PTO, paid holidays, and family leave
- Paid learning and sponsored certifications
- Fully remote, async-first environment
- Computer sponsorship