Data Scientist Senior -AWS - Advanced English - 100% Remote LATAM - Argentina

⭐ Data Scientist Senior – AWS - Advanced English – 100% Remote LATAM

  Location:  LATAM

  Work Mode:  100% Remote

  Contract Type:  Freelance

  Duration:  3 Months

️  Language:  Advanced English (C1+ preferred)

Role Overview

We are looking for  Data Scientists Senior  to join an international project focused on data analysis, machine learning, predictive modeling, and business insights.

We are seeking professionals who are passionate about data-driven decision-making and capable of collaborating within international teams in a fully remote environment.

This opportunity is open to different seniority levels, from professionals starting their Data Science careers to experienced specialists leading advanced analytics initiatives.

Responsibilities

• Collect, clean, analyze, and interpret structured and unstructured data.

• Develop analytical and predictive models to support business decisions.

• Identify trends, patterns, and opportunities through data analysis.

• Create reports, dashboards, and visualizations for stakeholders.

• Collaborate with business and technical teams to define analytical solutions.

• Support machine learning and statistical modeling initiatives.

• Contribute to improving data quality, reporting, and analytical processes.

Requirements

Senior Data Scientist

• 6+ years of experience  in Data Science, Advanced Analytics, or Machine Learning.

• Experience developing advanced predictive and statistical models.

• Experience working with large-scale data ecosystems.

• Experience interacting with business stakeholders and supporting strategic decision-making.

All Candidates Must Have

• Advanced English communication skills ( mandatory ).

•  Strong experience working with AWS data, analytics, and machine learning services.

•  AWS certifications (Machine Learning, Data Analytics, Solutions Architect, or similar) are desirable.

• Strong analytical and problem-solving skills.

• Ability to work in international environments.

• Experience communicating technical concepts to business stakeholders.

• Strong collaboration and teamwork capabilities.

⭐ Nice to Have

• Experience with AWS services such as S3, Glue, Redshift, Athena, Lambda, or SageMaker.

• Experience with Machine Learning, AI, or Predictive Analytics initiatives.

• Experience with data visualization tools such as Power BI, Tableau, or Looker.

• Experience working in multinational environments.

• Knowledge of MLOps or model deployment practices.

Benefits

• 100% remote work model across LATAM.

• International project environment.

• Opportunity to work with global teams.

• Exposure to modern data and cloud technologies.

• Dynamic and collaborative work environment.

  Apply now!