This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr. Data Scientist in Latin America.

In this role, you will work with complex data sets and cutting-edge cloud platforms to design, develop, and implement advanced analytical models that drive business insights and decision-making. You will collaborate with cross-functional teams including data engineers and machine learning engineers, ensuring models are robust, scalable, and operationalized effectively. The environment encourages autonomy, innovation, and continuous learning while allowing you to contribute to impactful data-driven projects. You will also present your analyses to stakeholders, translating technical results into actionable insights that inform strategy. This role offers a fully remote, inclusive, and dynamic setting where your expertise directly influences outcomes across diverse industries.

Accountabilities

Collaborate with stakeholders to gather requirements and translate them into technical specifications for model design and implementation.
Perform data manipulation, cleaning, and preprocessing for model development and evaluation.
Build, deploy, and maintain machine learning models and algorithms for real-world applications.
Communicate results through reports, visualizations, and presentations for technical and non-technical audiences.
Partner with interdisciplinary teams to leverage MLOps frameworks and ensure model longevity.
Drive thought leadership by contributing to open-source projects, sharing insights, and advancing data science best practices.
Proactively take ownership of projects and implement data science solutions tailored to client or business needs.

Requirements

Advanced degree or equivalent expertise in Engineering, Computer Science, Mathematics, Physics, Chemistry, or Operations Research.
3–5+ years of hands-on experience building models and developing algorithms for real-world applications.
Strong knowledge of advanced mathematics, statistics, and machine learning concepts.
Proficiency in programming and data analysis tools such as Python, R, PySpark, SQL, NumPy, SciPy, matplotlib, scikit-learn, and Jupyter notebooks.
Experience with data science algorithms and packages, including XGBoost, Random Forests, and Facebook Prophet.
Familiarity with cloud platforms such as AWS, Azure, and Databricks is preferred.
Experience with Generative AI and Large Language Models (RAG, DALL-E, Bard/Gemini, ChatGPT) is a plus.
Excellent communication skills, capable of presenting complex technical concepts to both technical and non-technical audiences.
Strong organizational skills with meticulous attention to detail and the ability to manage competing priorities under tight deadlines.

Benefits

Competitive salary in USD.
Fully remote work from anywhere in Latin America.
Paid time off, including sick leave and national holidays, aligned with local regulations.
Flexible work environment promoting autonomy and creativity.
Opportunities for professional growth and skill development in cutting-edge data science and AI projects.
Supportive and inclusive company culture celebrating diversity and collaboration.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

This process is transparent, skills-based, and free of bias, focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company offering the position. The final decision and next steps (such as interviews or assessments) are made by their internal hiring team.

Thank you for your interest!

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