Senior Applied Scientist (AI/ML - Pricing)

Jobgether; Ciudad de México; A distancia; MXN 200,000 - 400,000; Jornada completa

Descripción de la vacante

A technology company is seeking a Senior Applied Scientist specialized in AI/ML to lead the development of machine learning solutions focused on pricing optimization. You will manage the entire ML lifecycle and collaborate with cross-functional teams to deploy data-driven strategies across diverse markets. The ideal candidate will have a PhD or Master’s degree and extensive experience in applied machine learning. Competitive salary and remote work opportunities offered.

Servicios

Competitive salary

Fully remote work within Latin America

Career growth opportunities

Access to cutting-edge AI/ML tools

Formación

• PhD or Master’s degree in Computer Science or related field required.
• 5+ years of industry experience in applied machine learning essential.
• Strong knowledge of ML best practices and algorithms necessary.

Responsabilidades

• Research and implement machine learning models for pricing challenges.
• Analyze complex datasets to guide pricing strategies.
• Communicate technical concepts to stakeholders effectively.

Conocimientos

Machine Learning

Statistical Models

Data Analysis

Python

SQL

Cloud Platforms (AWS, GCP, Azure)

Educación

PhD or Master’s degree in Computer Science or related field

Herramientas

Scikit-Learn

TensorFlow

Keras

PyTorch

Apache Beam

Spark

Descripción del empleo

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.

Accountabilities:

• 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.

Requirements:

• 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.

Benefits:

• 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.

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.