Associate Data Science Consultant - Support

Blue Yonder; Monterrey; Presencial; MXN 749,000 - 1,125,000; Jornada completa

Descripción de la vacante

A leading SaaS solutions provider in Monterrey is seeking an Associate Data Science Consultant to optimize supply chain solutions using data analytics and machine learning. The ideal candidate should possess strong programming skills in Python and SQL, along with a background in statistics or operations research. Responsibilities include data analysis, model training, and presenting findings to clients in an agile environment. This position offers opportunities for collaboration and professional growth.

Formación

• Graduate degree in Operations Research, Statistics, or related field preferred.
• Demonstrated experience in programming with Python for data analytics.
• Proficiency in SQL for data extraction and manipulation.

Responsabilidades

• Provide analytical services in customer implementations.
• Conduct exploratory data analysis to uncover trends.
• Translate analytical findings into actionable business insights.

Conocimientos

Data Analysis

Machine Learning

Programming in Python

Statistical Analysis

Data Visualization

Educación

Graduate degree in Operations Research, Statistics, or related quantitative discipline

Bachelor’s degree with 1–2 years of AI/ML experience

Herramientas

Python

SQL

Azure

Exasol

Descripción del empleo

Blue Yonder Job Profile: Associate Data Science Consultant

Company Overview

Blue Yonder is a leading SaaS and AI-driven global supply chain solutions provider and a recognized Glassdoor “Best Place to Work.” The company helps organizations across industries optimize their supply chain operations through intelligent, data-driven planning and execution platforms.

Role Overview

As part of the Delivery Services team, the Associate Data Science Consultant plays a key role in implementing Blue Yonder’s supply chain planning solutions across the Americas. The role focuses on using data to optimize forecasting, store fulfillment, and decision support through platforms such as Luminate Demand Edge and other AI-enabled products.

Key Responsibilities

• Deliver analytical services as part of an agile team during customer implementations and post-go-live optimization phases
• Perform exploratory data analysis to identify patterns, trends, and anomalies
• Translate analytical findings into business insights and present them effectively to clients
• Build, configure, and train machine learning models tailored to customer needs
• Conduct what-if simulations and scenario analysis to evaluate alternative strategies
• Contribute to solution configuration by aligning technical outputs with customer objectives
• Collaborate closely with internal teams and support consultants in delivering measurable outcomes
• Participate in customer-facing presentations alongside more senior team members

Technical Environment

• Tools & Platforms: Python, SQL, Azure, Exasol
• Tech Competencies: Data analysis, data visualization, machine learning algorithms, model training and validation

What We Are Looking For

• Graduate degree in Operations Research, Statistics, or a related quantitative discipline is preferred; alternatively, a bachelor’s degree with 1–2 years of hands-on experience in AI/ML projects is acceptable
• Demonstrated programming experience in Python for data analytics, visualization, and ML model development
• Proficiency in SQL for data extraction, manipulation, and reporting
• Strong analytical and problem-solving skills, with the ability to translate complex data into business recommendations
• Ability to elicit and understand customer goals, concerns, and strategic priorities
• Strong communication skills, with a willingness to present findings and collaborate with peers and clients

Skills and Expertise

• Solid understanding of data engineering and data science concepts
• Practical experience with exploratory data analysis, model configuration, and evaluation
• Proficiency in common Python libraries such as pandas, numpy, scikit-learn, matplotlib, seaborn
• Interest in building a narrative or storyline using data insights
• Academic background in statistics, AI, ML, or related fields

Our Values

If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.