Senior Data Scientist Lead (Remote) – AWS ML & Insights

Iv.Ai; Neuquén; Remote; ARS 181,747,000 - 272,620,000; Full time

Benefits offered by this job

100% remote work

International clients

High-impact leadership

Strategy influence

Collaborative environment

Growth opportunities

Job summary

Coderio is seeking a Senior Data Scientist Lead to join a global client project and steer data science initiatives from design to production. The role blends hands-on modeling with technical leadership, mentoring, and collaboration with business and engineering teams.

You will work across the full DS lifecycle, with emphasis on AWS cloud environments, scalable ML solutions, and data-driven decision making for measurable business impact.

Qualifications

• 6+ years in Data Science, ML, or analytics with leadership experience.
• Strong probabilistic modeling and ML deployment track record.
• Proficiency in Python and ML libraries (Pandas, NumPy, scikit-learn).
• Hands-on with AWS cloud data/ML services; production-grade pipelines.

Responsibilities

• Lead design and delivery of data science initiatives across projects.
• Develop, evaluate, and optimize ML models for business value.
• Own end-to-end DS lifecycle from problem framing to production.
• Design scalable DS solutions on AWS and cloud best practices.
• Provide technical guidance and mentorship to data teams.
• Collaborate with business, product, data engineers and software engineers.
• Monitor model performance and drive improvements aligned with business goals.
• Contribute to data strategy and best practices across org.
• Mentor team members and promote knowledge sharing.

Skills

Data leadership

Python

Statistical modeling

Machine learning

AWS

SQL

Communication

English

Tools

AWS SageMaker

S3

Redshift

Glue

Docker

Kubernetes

Job description

Coderio is seeking a Senior Data Scientist Lead to join a global client project and steer data science initiatives from design to production. The role blends hands-on modeling with technical leadership, mentoring, and collaboration with business and engineering teams.

You will work across the full DS lifecycle, with emphasis on AWS cloud environments, scalable ML solutions, and data-driven decision making for measurable business impact.