Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects. We are currently partnering with a general IT powerhouse that represents the connected world through innovative, customer-centric experiences.

As a USD 6 billion organization and one of the top 7 IT service providers globally, our client empowers over 1,200 global customers—including several Fortune 500 companies—to "RiseTM." With a massive network of 163,000+ professionals across 90 countries, they are at the absolute forefront of digital transformation, leveraging next-generation technologies such as 5G, AI, Blockchain, and Quantum Computing. You will join an environment that values innovation and societal impact, working on end-to-end digital transformation projects for general leaders. If you are a driven professional looking for global career opportunities and exposure to high-impact projects within an international network of expertise, this is where you belong.

Data Scientist: The Challenge (Responsibilities)



Participate in a strategic analytical transformation initiative within the financial sector to strengthen business decision-making. Design and structure the analytical data layer and define critical business variables.

Machine Learning

Translate financial business needs into data assets, explainable models, and actionable analytical tools applied to pricing, liquidity, and customer behavior. Your Profile (Requirements) Solid understanding of analytical data architecture, logical and conceptual models, Data Lakes , and Data Marts . Expertise in data lineage, data quality, and traceability.

Machine Learning

Advanced SQL , and programming in Python High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery. A deep understanding of the difference between "coding" and "engineering." Desired Familiarity with cloud-native foundations or AI coding assistants.

Languages Intermediate Oral English: For seamless collaboration with global teams.

Advanced

Spanish.

This position is available as: Hybrid: (3 days in the office, determined by the manager/project). Occasional full-week onsite planning/training sessions may be required.

Sequoia

Career's Page : Analytical data architecture, logical and conceptual models, data lakes/data marts, data lineage, quality and traceability. Machine learning, feature engineering, advanced SQL, Python and/or R.

Intermediate

English.

📌 Temporary Data Scientist (Ciudad Apodaca)
🏢 Sequoia Connect
📍 Ciudad Apodaca