PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right.

We're proud to be a World Economic Forum New Champion, and a B Corp-certified company. Our approach is a game-changer in productivity and quality, with a strong collaboration between IA generative and our best Talents: We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design — with GitHub Copilot. The quality consistently exceeds the output of our best traditional engineering teams.

A product repository houses all product artefacts, giving AI full project context for higher-quality generation. A library of rules and prompts defines coding standards, design principles, and security guidelines, ensuring enterprise-grade quality and scalability. With Gen-e2, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence.

Data Scientist , you will transform processed and structured data into predictive and actionable insights that generate measurable business impact. You will collaborate closely with Data Engineers, AI teams, Product Owners, and business stakeholders to design scalable analytical solutions aligned with strategic objectives. We are looking for analytical leaders capable of combining statistical rigor, business understanding, and AI-driven innovation to solve complex problems through advanced machine learning models and data-driven decision-making.

Develop, train, validate, and optimize Machine Learning and predictive models for business use cases. Perform advanced exploratory data analysis (EDA) to identify trends, anomalies, and strategic opportunities. Design and implement feature engineering strategies to improve model performance and scalability.

Build scalable analytical pipelines using Python, R,



and PySpark in Big Data environments. Collaborate with Data Engineers to leverage high-quality and production-ready datasets. Deploy, monitor, and validate Machine Learning models in production environments.

Create dashboards and visual storytelling using Tableau, Power BI, matplotlib, and seaborn. Continuously improve model performance through experimentation, retraining, and monitoring. Mentor junior team members and contribute to the evolution of data science best practices within the organization. 3+ years of experience for Semi Senior profiles / 5+ years for Senior profiles in Data Science, Machine Learning, or Advanced Analytics.

Strong programming skills in Python and/or R.

Experience working with PySpark and Big Data Analytics ecosystems. Hands-on experience with Machine Learning frameworks such as scikit-learn, TensorFlow, or PyTorch. Solid knowledge of statistics, predictive modeling, and hypothesis testing. Expertise in Exploratory Data Analysis (EDA) and Feature Engineering techniques.

Experience deploying and validating Machine Learning models in production environments. Knowledge of data visualization tools such as Tableau, Power BI, matplotlib, or seaborn.

Advanced

English communication skills.

Experience working in cloud environments (AWS, Azure, or GCP). Familiarity with MLOps and CI/CD practices for Machine Learning. Knowledge of data governance and responsible AI practices. Exposure to Agile/Scrum environments and cross-functional teams.

More About PALO IT We're eager to adapt to change, learn from our experiences and move to meet our planet's urgent needs. Become a climate net-zero company Deliver projects with a positive impact Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become integral leaders and address the world's most complex challenges.

Internal R&D; projects Personalized training PALO IT is an equal opportunity employer that values merit, qualifications, and abilities. We prioritize privacy and data security.

📌 Data Scientist - Fulltime (Fraccionamiento los Ángeles)
🏢 Solicitud De Empleo Para Data Scientisten Palo It
📍 Fraccionamiento los Ángeles