⭐ Data Scientist (Junior, Mid & 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 (Junior, Mid-Level, and 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
Junior Data Scientist
- At least 1 year of experience in Data Science, Analytics, Machine Learning, or related areas.
- Knowledge of Python, SQL, statistics, and data analysis techniques.
- Understanding of machine learning fundamentals.
Mid-Level Data Scientist
- 3 to 5 years of experience in Data Science, Analytics, or Machine Learning roles.
- Experience developing analytical and predictive models.
- Experience working with structured and unstructured datasets.
- Experience with Python, SQL, and cloud-based environments.
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!