Data Scientist (Remote – LATAM)

Scale Up Recruiting Partners; Tijuana; A distancia; MXN 1,103,000 - 1,472,000; Jornada completa

Descripción de la vacante

A global consulting firm is seeking a Data Scientist to tackle real-world challenges using advanced analytics and machine learning. This role will involve designing ML models, conducting data analysis, and collaborating with engineers and product managers. Candidates should have 4+ years of relevant experience, strong Python and SQL skills, and familiarity with tools like Databricks. The position offers competitive compensation and the opportunity to work remotely from anywhere in LATAM.

Servicios

Competitive compensation

Potential for long-term collaboration

Flexible and global independent contractor model

Formación

• 4+ years of experience in Data Science, Machine Learning, or Applied AI roles.
• Hands-on experience with Databricks (notebooks, MLflow, Delta Lake).

Responsabilidades

• Design, build, and deploy robust ML models and data pipelines.
• Conduct exploratory data analysis and feature engineering.

Conocimientos

Strong Python skills (pandas, NumPy, scikit-learn)

Proficiency in SQL

Analytical mindset

Experience with Git workflows

Educación

Degree in Computer Science, Data Science, Applied Math, or related field

Herramientas

Databricks

Machine Learning lifecycle tools (MLflow, DVC, SageMaker)

Descripción del empleo

About the Role

We’re looking for a Data Scientist to join our global consulting team and help tackle real-world challenges using advanced analytics, machine learning, and generative AI. You’ll be part of a multidisciplinary, high-impact team working across consulting, health, wealth, and career businesses, collaborating with engineers, product managers, and business leaders.

If you’re passionate about building scalable ML solutions, experimenting with cutting-edge AI (LLMs, embeddings, RAG), and driving data-informed decisions for major enterprise clients, this role is for you.

What You’ll Do

• Design, build, and deploy robust ML models and intelligent data pipelines for AI-powered applications.
• Conduct exploratory data analysis (EDA) and feature engineering to uncover insights and boost performance.
• Translate complex business problems into scalable analytical use cases.
• Own the end-to-end ML lifecycle: from data prep and experimentation to deployment, monitoring, and optimization.
• Work with structured and unstructured data (including text & NLP) to develop generative AI solutions.
• Define and promote best practices in validation, reproducibility, documentation, and versioning.
• Partner with engineering to bring models into production using CI/CD pipelines and cloud-native services.
• Stay ahead of the curve with the latest in AI: RAG, LLMs, embeddings, Databricks, and more.

Minimum Requirements

• 4+ years of experience in Data Science, Machine Learning, or Applied AI roles.
• Strong Python skills (pandas, NumPy, scikit-learn).
• Proficiency in SQL and modern ETL frameworks.
• Hands-on experience with Databricks (notebooks, MLflow, Delta Lake, orchestration).
• Experience with Git workflows and Agile methodologies.
• Strong analytical mindset, problem-solving abilities, and clear communication.

Preferred Qualifications

• Experience with Generative AI, LLMs, embeddings, or prompt engineering.
• Familiarity with AWS, Azure, or GCP for scalable model deployment.
• Knowledge of ML lifecycle tools (MLflow, DVC, SageMaker, Vertex AI, DataBricks).
• Experience with BI tools (Tableau, Power BI, Qlik).
• Degree in Computer Science, Data Science, Applied Math, or a related field.

Why Join Our Talent Pool?

• Work remotely from anywhere in LATAM.
• Competitive compensation + potential for long-term collaboration.
• Be part of innovative, enterprise-level projects with important clients.
• Grow your career working at the intersection of data, AI, and business strategy.
• Independent contractor model, flexible and global.