Senior Applied Scientist

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Applied Scientist (AI/ML - Pricing) in Latin America.

In this role, you will lead the development and deployment of advanced machine learning solutions focused on pricing optimization. You will translate complex business and operational constraints into mathematical models and scalable algorithms, enabling data-driven pricing strategies across diverse markets. The position requires ownership of the entire ML lifecycle, from data ingestion and analysis to model deployment and performance monitoring. You will work closely with cross-functional teams, influence technical direction, and contribute to thought leadership in AI/ML applied to real-world business challenges. This role is ideal for someone who thrives in a fast-paced, entrepreneurial environment, enjoys solving complex problems, and has a passion for high-impact data-driven solutions.

• Research, develop, and implement machine learning and statistical models to solve pricing challenges.
• Analyze large, complex datasets to extract insights that guide pricing strategies.
• Apply state-of-the-art ML techniques and frameworks to create robust, scalable models.
• Develop clean, efficient, and maintainable code following industry best practices.
• Communicate technical concepts and results clearly to both technical and non-technical stakeholders.
• Collaborate with teams to deploy data-driven products and solutions in production.
• Mentor junior team members, supporting the growth of team expertise.
• Contribute to intellectual property, publications, and technical leadership in AI/ML.

• PhD or Master's degree in Computer Science, Machine Learning, Statistics, Operations Research, or a related field.
• 5+ years of industry experience in applied ML; 3+ years in production deployment of ML and deep learning models at scale.
• Strong knowledge of ML best practices (A/B testing, feature engineering, training/serving pipelines) and algorithms (gradient boosting, neural networks, optimization).
• Proficiency in Python (numpy, pandas, polars) and ML frameworks (Scikit-Learn, TensorFlow, Keras, PyTorch).
• Experience with large-scale datasets and big data tools (Apache Beam, Kafka, Spark).
• Familiarity with cloud platforms such as AWS, GCP, or Azure.
• Strong SQL and data engineering skills.
• Preferred: experience applying ML to retail pricing, familiarity with MLOps pipelines, and demonstrated leadership experience.

• Competitive salary and performance-based incentives.
• Fully remote work within Latin America.
• Opportunities for career growth and leadership in high-impact projects.
• Collaboration with cross-functional, high-performing teams.
• Access to cutting-edge AI/ML tools and technologies.
• Learning and development opportunities to enhance technical expertise.

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.

The 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 that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest

By submitting an application to this posting, the applicant acknowledges that Jobgether will process their personal data as necessary to evaluate their candidacy, provide feedback, and, when appropriate, share relevant information with potential employers. Such processing is carried out on the basis of legitimate interest and pre-contractual measures in accordance with applicable data protection laws. The applicant may exercise their rights of access, rectification, erasure, and objection at any time as provided under the GDPR.

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